Remote, United States, United States TECH | Backend Python Developer 3-5 years of experience Location: United States - Remote NOTE: Must be authorized to work in the United States as secret clearance may be needed in the future Hours: East coast hours Why This Role Matters: Are you passionate about building robust, high-performance backend systems? As a Backend Python Developer, you’ll play a key role in shaping the company’s technology initiatives, collaborating closely with front-end developers, product owners, and QA engineers to deliver cutting-edge software solutions. You’ll work with modern tools like FastAPI, NATS, and Jira, contributing to projects that have real-world impact across Defense, Transportation, Utilities, Public Safety, and Telecoms. What You’ll Do: Design, implement, and maintain clean, efficient, and reusable Python code for backend services. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions. Leverage modern version control practices with Git to streamline development. Contribute to innovative solutions that solve complex, mission-critical challenges. Skills & Experience We’re Excited About: Backend Python Development – Proven experience building and maintaining backend systems. FastAPI – Experience building APIs and services using the FastAPI framework. Git – Strong version control skills to manage code efficiently. Jira – Comfortable tracking tasks and collaborating using Jira. Bonus Expertise: SDR (Software Defined Radio), NATS.io, NumPy/SciPy for scientific computing, and RF (Radio Frequency) knowledge.

London or New York, USA or UK My Client is hiring a Senior Software Engineer for a team that builds internal tools to empower their developers, ensuring they have everything needed to succeed. Their code is critical to their business and as they are moving towards a more open source way of working as opposed to building everything internally, you will collaborate with Engineers and Data Scientists to create impactful software using Python. This is a very high impact role and will offer very high renumeration in relation to this. Python expert. Have worked on open source Data Science libraries. Passion for improving technology and building things.

Remote, United States Backend Python Developer w/ 3-5 years of experience Remote: Client company based in Tysons Corner, Virginia Location: Continental USA (Due to the nature of the business US Citizenship is required) You may possibly travel to the corporate office in the Washington, DC Metro area 1-3 times per quarter. Hours: East coast hours Why This Role Matters Are you passionate about building robust, high-performance backend systems? As a Backend Python Developer, you’ll play a key role in shaping the company’s technology initiatives, collaborating closely with front-end developers, product owners, and QA engineers to deliver cutting-edge software solutions. You’ll work with modern tools like FastAPI, NATS, and Jira, contributing to projects that have real-world impact across Defense, Transportation, Utilities, Public Safety, and Telecoms. What You’ll Do Design, implement, and maintain clean, efficient, and reusable Python code for backend services. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions. Leverage modern version control practices with Git to streamline development. Contribute to innovative solutions that solve complex, mission-critical challenges. Skills & Experience We’re Excited About Backend Python Development – Proven experience building and maintaining backend systems. FastAPI – Experience building APIs and services using the FastAPI framework. Git – Strong version control skills to manage code efficiently. Jira – Comfortable tracking tasks and collaborating using Jira. Bonus Expertise SDR (Software Defined Radio) NATS.io, NumPy/SciPy for scientific computing RF (Radio Frequency) knowledge.

Worldwide (Remote), Worldwide (Remote) Location: Worldwide (Remote) Duration: 6 months (with possible extension) Hours: Flexible (see below) Rate: Competitive (see below) Introduction The Syria Justice and Accountability Centre (SJAC) is Computer Vision & Machine Learning Engineer (Consultant) for a 6-month remote engagement, with potential extension. The role supports mission-driven projects using open-source tools, emphasizing scalability and reliability. The ideal candidate will bring deep expertise in visual computing and natural language processing (preferably Multilingual NLP and RTL languages such as Arabic), with a strong track record of applying these skills to real-world problems. You should be comfortable working across the full ML lifecycle, from model design and training to deployment and monitoring, and be motivated by work that combines technical innovation with social impact. Scope of Work Design and optimize computer vision and machine learning algorithms. Build scalable CV systems for large image datasets. Develop preprocessing pipelines (e.g., detection, deskewing) to enhance OCR. Evaluate OCR technologies/models optimized for Arabic documents. Build end-to-end pipelines from image input to feature extraction, classification, and clustering. Solve technical challenges in CV and integrate models into SJAC products. Write clean, production-grade code following best practices. Required Qualifications Education & Core Expertise MSc in Computer Vision or Machine Learning, or BSc in Computer Science with AI or CV specialization. Equivalent relevant working experience may be accepted. Proven experience in the fields of Computer Vision and Machine Learning (specifically Deep Learning). Track record of leading CV/ML projects from concept to production. Technical Skills Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with both ML-based and traditional CV techniques, including OpenCV. Strong understanding of modern deep learning architectures, including transformer-based. Hands-on experience with open-source libraries and model hubs, such as Hugging Face. Deployment & Infrastructure Experience deploying ML models on cloud platforms (e.g., AWS) with resource constraints. Skilled in designing production ML pipelines using MLOps tools (versioning, workflows, monitoring, optimization) Ability to evaluate and optimize ML systems for metrics such as speed, scalability, and power consumption. Bonus Skills Ability to read and understand Arabic is a strong plus. Familiarity with ML-based OCR technologies. Hands-on experience with open-source libraries and model hubs, such as Hugging Face. Familiarity with large vision models and multimodal architectures. How to Apply The contract may be extended beyond the initial six-month period based on performance and funding availability. Candidates are asked to propose an hourly rate for their services. The final rate and working hours will be agreed with the successful candidate

Remote, United States Six Feet Up is seeking a Data Engineer with 12+ years of experience designing, building, and maintaining robust and scalable data pipelines. In this role, you will have the opportunity to work on a variety of challenging projects across different industries, delivering high-quality solutions that drive business value. If you are a motivated Data Engineer seeking a challenging and rewarding role, we encourage you to apply. Your Technical Expertise Hands-on experience with ETL processes and Airflow Strong understanding of DevOps and data engineering best practices (containers, CI/CD, automated testing) A Plus: Familiarity with the various cloud platforms Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Remote, United States Six Feet Up is looking for a full-time Senior Python Developer/DevOps Engineer to create beautiful back-end code powering sophisticated Python-based web projects and to deploy, manage, and maintain our infrastructure and applications. Your Technical Expertise 15+ years of professional Python web development experience Proficient in Django, Flask, or similar frameworks Unix/Linux System Administration and deployment experience Experience working with Terraform, Docker and Kubernetes Ability to maintain, improve, and document AWS, Azure and GCP infrastructures DevOps and Automation experience (CI/CD, Grafana, etc.) A Plus: AI/ML/Big Data Experience Understanding of AWS and/or Azure APIs Innovative understanding of cloud processes and improvements Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Bogota, Medellin or Cartagena, Cundinamarca, Antioquia, Bolivar, Colombia JOB OVERVIEW We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives. ROLE WILL INVOLVE, BUT NOT BE LIMITED TO: Design and implement serverless data pipelines using AWS services Build and maintain data lakes and ETL processes Create automated deployment pipelines Collaborate with data science teams Implement data governance and security best practices MINIMUM QUALIFICATIONS Python (5+ years) - Strong development background AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue) Infrastructure as Code (AWS CDK/CloudFormation) Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design). PREFERRED QUALIFICATIONS Experience with AWS Lake Formation AWS Datazone EventBridge & Step Functions knowledge CI/CD pipeline implementation API integration experience SOFT SKILLS Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Ability to self-manage and thrive in dynamic environments. Curiosity and a mindset of continuous learning. Must be able to communicate professionally in English, listening, writing and speaking. BENEFITS Compensatory days off to maintain a healthy work–life balance. Certification support to boost your professional development and continuous growth. Birthday bonuses, because we celebrate your personal milestones as much as your professional ones. Opportunity to work on projects with Fortune 100 clients, gaining exposure to world-class environments. Competitive salaries, aligned with the market and your talent. Comprehensive social security coverage, ensuring your peace of mind and well-being. 5+ years of experience in software development / data engineering with cloud technologies (Phyton and AWS) Location Hybrid: 2-3 days a week work from office in Colombia (preferably in Bogotá, Medellín, or Cartagena) Requirement Fluent in English - preferably has work with large U.S. Clients human.resources@mps-group.us

Bogotá, Medellin, or Cartagena, Cundinamarca, Antioquia, Bolivar, Colombia We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives. ROLE WILL INVOLVE, BUT NOT BE LIMITED TO: Design and implement serverless data pipelines using AWS services Build and maintain data lakes and ETL processes Create automated deployment pipelines Collaborate with data science teams Implement data governance and security best practices MINIMUM QUALIFICATIONS Python (5+ years) - Strong development background AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue) Infrastructure as Code (AWS CDK/CloudFormation) Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design). PREFERRED QUALIFICATIONS Experience with AWS Lake Formation AWS Datazone EventBridge & Step Functions knowledge CI/CD pipeline implementation API integration experience SOFT SKILLS Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Ability to self-manage and thrive in dynamic environments. Curiosity and a mindset of continuous learning. Must be able to communicate professionally in English, listening, writing and speaking.

Farmington Hills, MI, United States The Software Engineer will join an agile development team responsible for developing, integrating and maintaining Python based systems and applications that support our data analytics, reporting, system integration and data science initiatives. The Software Engineer should be passionate about code quality and software excellence, with extensive development experience. Collaborating closely with other analysts, architects, and team members is a must. This role blends software engineering, data management, and analytical problem solving to drive business insights and efficiency. Design, develop, and maintain Python applications for data processing, analytics, system integration, and reporting. Integrate internal and external systems through APIs, databases, and automation scripts. Build, optimize, and document ETL (Extract, Transform, Load) workflows for structured and unstructured data. Work closely with business teams to understand data requirements and deliver scalable, reliable solutions. Implement best practices in code quality, data security, and performance optimization. Contribute to technical documentation and ensure smooth handoffs across teams. Participate in the internal community of practice sessions. Perform all work in accordance with RouteOne quality programs.

Warsaw (fully remote), Poland Lead Python Backend Engineer We’re looking for Python backend engineers interested in team management to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT). Wow, that was a mouthful... If you found it interesting, join Reef Technologies and lead a team of senior engineers who tackle complex technical challenges. With us, you’ll work on your own terms: Contribute from wherever you like—we are fully remote Set your own time commitment, as long as it’s at least 30h per week See how we work in our handbook: github.com/reef-technologies/handbook Influence the way we operate through our Sociocracy 3.0 decision-making process Salary on a B2B contract: 75–90 USD or 300–380 PLN per hour, or 12600–15120 USD or 48000–60800 PLN a month if you work 40 hours per week (most of us work a bit less) Flexible work schedule (as measured with a time tracker) We automatically adjust rates based on inflation twice a year So, what do you think? You don't even need a CV, just click here and shoot a few quick commands to apply. We're looking for someone with 2+ years of team management and 5+ years of programming experience (including at least a year with Python, open source and significant personal projects do count).

Warsaw (fully remote), Poland Senior Python Backend Engineer We’re looking for Python backend engineers to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT). Wow, that was a mouthful... If you found it interesting, join Reef Technologies and tackle complex technical challenges like this on your own terms: Contribute from wherever you like—we are fully remote Set your own time commitment, as long as it’s at least 30h per week See how we work in our handbook Influence the way we operate through our Sociocracy 3.0 decision-making process Salary on a B2B contract: 45-70 USD or 180-280 PLN per hour Flexible work schedule (as measured with a time tracker) We automatically adjust rates based on inflation twice a year So, what do you think? You don't even need a CV, just click here and shoot a few quick commands to apply. We're looking for someone with 5+ years of programming experience, including at least a year with Python (including opensource and significant personal projects).

REMOTE, REMOTE THIS IS A FULLY REMOTE ROLE - YOU MUST BE LOCATED EITHER IN THE US, CANADA or WESTERN EUROPE We're seeking a versatile DevOps Engineer to help scale our infrastructure and operations. This is a "wear many hats" position perfect for someone who thrives in a fast-paced, distributed environment and enjoys building systems that grow with the business. What You'll Do Design and evolve AWS infrastructure using Python and 3rd party libraries. Build and maintain provisioning systems that scale with our growth. Assist with and eventually lead the provisioning system and software release process. Develop internal tools for employees and partners using our stack (Python, FastAPI, nicegui, PostgreSQL, Vue.js). Manage security policies and respond to customer security questionnaires. Support our remote-first culture through robust, reliable systems. What we are looking for Strong experience with AWS infrastructure and Python automation. Proven ability to work independently in a remote environment. Excellent async communication skills and self-management. Experience building scalable systems from the ground up. Comfortable with security best practices and compliance requirements. Adaptability to wear multiple hats and tackle diverse challenges. We release often, including the weekend. You are available to work then. Our Stack AWS, Python, FastAPI, NiceGUI, PostgreSQL, Vue.js, plus various 3rd party integrations If you are ready to help a growing SaaS company scale please start your cover letter with “ I AM A VERSATILE DEVOPS ENGINEER” We'd love to hear from you. To be considered please fill out the click up form https://forms.clickup.com/2257368/f/24wer-68877/ON1CTQHI8FXGJURL5V

Remote, United Kingdom Key information Salary: £47,922 + profit share per year (full-time equivalent, pro-rated for part-time working) Working pattern: Full-time as 37.5 hours per week or Part-time as 30 hours per week Location: Remote, UK-wide with occasional national travel to meet with colleagues in-person The role As a software developer joining our team you will: Develop and maintain useful and reliable Python-based back-end systems Build and support web-based tools and data infrastructure used in purpose-driven data initiatives Work with complex datasets and shared data standards Build and improve data systems including pipelines, validation processes, quality checks and tools that help people publish, use and maintain data well Work closely with colleagues across engineering, analysis and directly with partners and clients Over the past decade, we’ve helped more than 50 organisations design and build data initiatives that support better decisions. To give you an idea of the kind of projects you’ll get to work on, here are some examples of our impact. We’ve helped: improve how development and humanitarian resources are tracked understand the sustainability of infrastructure projects build standards that climate and disaster risk data easier to find map high-speed internet networks to close connectivity gaps build data infrastructure that makes grantmaking more informed and effective We recognise there are many paths to becoming a software developer. We’re more interested in demonstrable skills and experience than formal qualifications. We often work in specialised areas, and we’ll support you to learn the domain, build new skills, and apply your existing experience in context. Essential Experience of developing maintainable software in Python Experience of back-end web development (most of our projects use a combination of Django, DRF/FastAPI, and PostgreSQL) Experience of HTML, CSS and JS for front-end web development Experience of developing software and systems with a focus on robustness and quality through test-driven development, shift left testing, or other emphasis on automated unit/integration testing, including use of standard tools and frameworks (e.g., pytest, Selenium). Use of Git for version control and collaborative development You understand the value of clear and thoughtful written and spoken communication and have experience offering this to others. You’re interested in working in a flat organisation, where people contribute proactively, share responsibility and work collaboratively towards a shared purpose We don’t expect candidates to match every point listed here. If you meet most of the essential skills and experience, and this role feels like a good fit, we’d encourage you to apply. Desirable Experience developing data pipelines and/or code and systems that manipulate complex data in common data formats, such as JSON, XML and CSV. Experience in UI/UX and accessible front-end web development, or a desire to develop skills in this area. Experience of cloud/remote systems administration Experience of CI/CD and/or software deployment, e.g., Saltstack, OpenTofu Experience communicating with clients and/or other stakeholders Knowledge of the open data movement and community and/or understanding of open source software and content licensing

REMOTE, REMOTE This is a FULLY REMOTE-WORLDWIDE position As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code. Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data? Who we are NOT looking for *Agencies *People who are looking for a side “hustle” or are starting their own business *Anyone with less than 8 years of experience If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 8+ YEARS OF EXPERIENCE in all CAPS To be considered pls fill out this form https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y Required Skills: *Very proficient with Linux at the terminal level *Test-driven development (TDD) and pytest proficiency *7+ years Python experience *Polars experience *PostgreSQL expertise: schema design, optimization, advanced queries *Familiarity with, and adherence to, PEP guidelines and Python coding standards *RESTful API development and design best practices *Scalable architecture design for high-volume data environments *Security practices and vulnerability prevention *Bug identification and resolution with local testing *Thoughtful development centered around performance, deeply optimized code, and proper code organization *Git version control with branching strategies *English fluency (written/verbal) *Previous experience working for a US-based company.

Remote (EU), Overijsel, Remote (EU) Position Details Salary: EUR 70k annual base salary, with VSOP available for discussion Working Hours: Daytime working hours aligned with Central European Time (CET) Work Setup: Fully remote position Role Summary We are hiring a Senior Python Developer to lead design and implementation across a stateful, workflow-driven platform built in Python. This role requires strong backend engineering fundamentals and the ability to work confidently across application logic, APIs, integrations, asynchronous processing, state management, testing, and production architecture. You will work on a platform that combines: Python services and core runtime design FastAPI-style HTTP APIs and callback endpoints Redis-backed state and workflow persistence Async external-provider integrations and retry handling Multi-channel messaging backends LLM-assisted workflow components End-to-end testing of orchestration, contracts, and recovery paths This is a senior hands-on engineering role. We expect clear technical judgment, strong ownership, and pragmatic architectural decision-making without unnecessary complexity. Responsibilities Design, implement, and maintain production-grade Python services and runtime components Own complex backend features end to end, from domain modeling through rollout and regression coverage Build and evolve stateful workflow systems, orchestration layers, and asynchronous processing Integrate with third-party APIs and external service providers in a reliable, observable, and fault-tolerant way Improve system correctness around retries, idempotency, error handling, and distributed state transitions Contribute across the stack including APIs, integrations, contracts, and tooling Write high-signal tests covering unit, integration, contract, and recovery scenarios Review code rigorously and raise the bar for design clarity, maintainability, and runtime safety Collaborate with stakeholders to turn ambiguous requirements into robust implementation plans Working Style We value engineers who are: rigorous pragmatic comfortable with ownership concise in communication capable of handling both systems thinking and implementation detail If you are strongest only in isolated backend CRUD development and do not enjoy stateful systems, integrations, or workflow complexity, this role is likely not the right fit. Required Experience 6+ years of professional Python development experience Strong experience with modern Python backend development, including type-aware design and asynchronous programming Strong experience designing and maintaining APIs and service boundaries Solid experience with Redis or comparable key-value/data-structure stores in production systems Experience with event-driven or workflow-oriented systems, including retries, resumability, and state transitions Experience integrating with external services, callbacks/webhooks, and long-running remote processes Strong testing discipline with pytest and a clear understanding of regression prevention Comfortable working in systems that mix deterministic application logic with AI/LLM-assisted components Ability to work across backend, platform, and integration concerns without narrow specialization Preferred Experience Experience with FastAPI, Starlette, or similar Python web frameworks Experience with conversational systems, messaging backends, or multi-channel product flows Experience with queue-like async coordination patterns, webhook security, and idempotent callback handling Experience with localization/i18n pipelines and user-facing workflow systems Experience with Docker-based local development and production deployment workflows Experience working in codebases with strong architectural boundaries, typed domain contracts, and documentation-driven development Technical Profile The right candidate should be comfortable with most of the following: Python Async I/O and coroutine-based service design FastAPI-style API development Redis-backed application state Pytest-based automated testing REST/webhook integrations State machines, orchestration, and workflow engines Payload/schema design and validation Production debugging and operational reasoning Docker-based development environments What Good Looks Like Produces code that is clear, defensible, and easy to evolve Understands failure modes before they happen and designs accordingly Makes deliberate tradeoffs instead of defaulting to abstraction or framework-heavy solutions Can move between architecture, implementation, and debugging without losing precision Writes tests that reflect real system behavior, not just happy-path implementation details Communicates directly and professionally with strong technical judgment Seniority Expectations This role is not limited to ticket execution. We expect the engineer in this position to: identify weak spots in architecture and implementation propose clean solutions with minimal ceremony drive difficult features across multiple modules improve engineering standards through code review and design decisions and take responsibility for correctness in production-facing behavior Nice-to-Have Domain Exposure Messaging platforms such as WhatsApp or web chat systems Identity, onboarding, or verification workflows AI-assisted product experiences Workflow engines and rule-driven application behavior Employment / Tax EU VAT compliance is a must for contractors EU GDPR compliance is a must EU work permit is a strong pre

London, United Kingdom We are inviting applications for a research software engineer to be based in the Neuroinformatics Unit, working with the laboratories of Tom Mrsic-Flogel, Sonja Hofer and Tim Behrens in collaboration with the Advanced Microscopy Facility. Our research seeks to understand how the frontal regions of the brain build circuits for cognition (e.g. planning, reasoning, abstraction). The challenge is to identify the precise neural microcircuits that underpin cognitive computations. To achieve this, we image the activity of neurons in a variety of task using benchtop and miniaturise two-photon microscopes, and then perform targeted holographic stimulation of identified neurons to probe their connectivity. This requires a complex pipeline of imaging, signal processing and alignment of multi-modal data sources. You will be responsible for developing and optimising efficient algorithms to process functional brain imaging data including motion correction, segmentation and multimodal registration. These algorithms will then be integrated within existing software packages for data acquisition, analysis and visualisation. This post is funded until September 2028 in the first instance with the possibility of extension subject to grant funding. Informal enquiries regarding the role can be addressed to Adam Tyson (adam.tyson@ucl.ac.uk). A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. You will have strong programming skills in Python along with extensive experience working with numerical data such as images and timeseries. The ideal candidate will have experience in either image registration or working with multiphoton calcium imaging. You should have a strong interest in building easy to use software to help advance neuroscience and be comfortable working in teams of researchers and software engineers. The ideal candidate will have experience of good software engineering best practices and working on, and with open-source software.

London, United Kingdom The SWC is pioneering open-source approaches (such as Aeon) to study behaviour and brain function over long time scales (days to weeks). Processing and analysing this data represents a considerable challenge due to the scale and the complexity of such long-term recordings (e.g. drift of electrophysiological recordings). We are inviting applications for a research software engineer to be based in the Neuroinformatics Unit, working with the laboratories of Tom Mrsic-Flogel, Tiago Branco and Tim Behrens. You will be responsible for developing, optimising, and using efficient tools to process and visualise large volumes of extracellular electrophysiological data (such as from Neuropixels probes) and behavioural data (such as from video recordings). This will include contributing to open-source packages such as "SpikeInterface" and "Movement" and implementing them within SWC pipelines (e.g. using DataJoint). A key part of the role will be to efficiently process large-scale data recorded by researchers at SWC (e.g. from Aeon), and ensuring that data is processed accurately and efficiently. Informal enquiries regarding the role can be addressed to Adam Tyson (adam.tyson@ucl.ac.uk). This post is funded until September 2028 in the first instance with the possibility of extension subject to grant funding. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. What we offer The post is based in London, suitable for hybrid working with a minimum of 40% of time onsite. As well as the exciting opportunities this role presents SWC offers staff an award winning work environment with state of the art facilities an on site brassiere and access to pleasant outdoor spaces. SWC staff receive the full range of UCL benefits. Our commitment to Equality, Diversity and Inclusion As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about UCL's commitment to Equality, Diversity and Inclusion here You will have strong programming skills in Python along with extensive experience working with timeseries data. The ideal candidate will have experience working with extracellular electrophysiology and building data pipelines. You should have a strong interest in building easy to use software to help advance neuroscience and be comfortable working in teams of researchers and software engineers. The ideal candidate will have experience of good software engineering best practices and working on, and with open-source software.

Remote, Remote, USA HypothesisBase is seeking a curious & motivated python developer. The candidate will: Assist in the development & deployment of software applications using Python Conduct unit testing of applications Use Python for development, testing & outreach objectives Collaborate to identify project requirements, and deliver solutions To apply, you must complete the assessment at link: https://algorithmspath.com/assessments/1f3d0bc8-0b72-41a2-8184-19071ed080a9/start then send your resume to jobs@hypothesisbase.com. Requirements: Experience in source code management (git) Experience with Python Experience with Windows/Linux Willingness to learn new technologies Use software to achieve business goals Clear communicator Even if you don't meet all the above requirements, we'd still love to hear from you! We are goal-oriented & offer great flexibility.

Atlanta, US Responsibilities: Design and develop a real-time visualization and monitoring toolkit for distributed training workflows Maintain and improve the APPFL codebase, addressing bugs and performance issues Implement new features aimed at enhancing privacy-preserving federated learning Create clear and comprehensive documentation for all developed tools and features Support the growth and sustainability of the APPFL community through engagement and education Engage with users to address inquiries and promote best practices within the framework Participate in version releases and manage any necessary updates and changelogs Must: Proven experience in Python programming, particularly for production-quality code Strong knowledge of software engineering principles and practices Familiarity with real-time visualization and monitoring tools Experience with federated learning frameworks or similar technologies Proficient in documenting software solutions and providing clear user guidance Ability to optimize code for performance and scalability Excellent collaboration and communication skills Understanding of open-source development and community engagement Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience

Remote, USA Six Feet Up is seeking a highly skilled Senior Python Software Developer to join our innovative team. The ideal candidate will have a strong background in Python development and a passion for creating high-quality software solutions. As a Senior Python Software Developer, you will be responsible for leading development projects, mentoring junior developers, and ensuring the successful delivery of our software solutions. Is this you? Your Technical Qualifications You hold a Bachelor's degree in Computer Science, Engineering, or related field. You have 15+ years of professional Python development experience. You are proficient in Django, Flask, or similar frameworks. You have a strong understanding of software development principles and methodologies. You possess excellent problem-solving skills and attention to detail. A Plus: Experience with cloud platforms (AWS, Azure, GCP). Knowledge of containerization technologies (Docker, Kubernetes). Your Collaborative Skills * You proactively seek and provide actionable feedback. * You are reliable in delivering work, and you escalate issues quickly when needed. * You are effective and persistent in uncertain or ambiguous situations; you leverage company support. * You promote good practices in performance and security. * You enhance stability, quality, and performance of deliverables.

Remote, (USA only) Six Feet Up is looking for a full-time, USA-based Senior Python Developer/DevOps Engineer to create beautiful back-end code that powers sophisticated Python-based web projects. The role also includes deploying, managing, and maintaining our infrastructure and applications. Your Technical Expertise 15+ years of professional Python web development experience Proficient in Django, Flask, or similar frameworks Unix/Linux System Administration and deployment experience Experience working with Terraform, Docker and Kubernetes Ability to maintain, improve, and document AWS, Azure and GCP infrastructures DevOps and Automation experience (CI/CD, Grafana, etc.) A Plus: AI/ML/Big Data Experience Understanding of AWS and/or Azure APIs Innovative understanding of cloud processes and improvements Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Remote, Remote About the Company Our client is an AI-first legal tech startup on a mission to modernize how legal teams work. By building intelligent tools that automate complexity and unlock efficiency, they help legal professionals focus on what truly matters. They’re currently partnering with a high-volume immigration law firm to transform critical workflows at scale. This is a chance to join a fast-growing startup where your work will have real, visible impact from day one 🚀 Role Overview We’re looking for a Tech Lead (Senior Staff or Principal Engineer) to own the technical direction of our client’s core platform. This hands-on leadership role is ideal for someone who enjoys building, scaling, and making high-impact technical decisions in a startup environment. You’ll work closely with the CTO, CPO, and Infrastructure Architect to shape the platform’s architecture, guide the team, and move fast without compromising quality, security, or scalability.. What You’ll Do Own the architecture: Design and evolve a scalable, cloud-native platform built for high-volume processing and complex data flows. Lead by example: Set engineering standards, make key technical decisions, and write production-grade code. Move fast, build right: Drive large initiatives from idea to production in a lean, iterative startup environment. Collaborate closely: Work side-by-side with product, infra, and leadership to align tech decisions with business goals. Grow the team: Mentor engineers, raise the technical bar, and help build a strong engineering culture. What You’ll Get 🤝 🌍 Remote-first startup Work from anywhere with the flexibility and autonomy startups are known for. Home office budget included. 💰 Competitive Salary Based on experience and impact. 🌴 Unlimited PTO We trust you to manage your time and recharge when needed. 📚 Learning & Growth Budget for conferences, courses, and continuous learning. 👶 Paid Parental Leave Because life happens—and we support it. What You Bring 8–10 years of software engineering experience, with 3+ years in senior technical leadership roles. Fluent in Spanish and English (spoken and written). Expert-level Python (required). Go and/or Node.js experience is a plus. Strong experience building cloud-native systems on AWS, GCP, or Azure. Hands-on expertise with Kubernetes, Docker, and microservices. Solid experience with IaC (Terraform, CloudFormation, Pulumi). Deep understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Experience designing REST, gRPC, or GraphQL APIs at scale. Strong focus on security, performance, and reliability in production systems. A startup mindset: ownership, pragmatism, and comfort with ambiguity.

Remote, USA The Python Software Foundation (PSF) is hiring a full-time Infrastructure Engineer, reporting to the PSF's Director of Engineering. The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. In support of our mission, the PSF manages the infrastructure that provides resources and downloads on python.org, documentation on docs.python.org, packages on pypi.org, and more. Overview Maintains the infrastructure that runs PyPI, python.org, docs.python.org, mail.python.org, and the services that support PyCon US. Works alongside a small team keeping critical Python community infrastructure running. The core mandate is keeping things online, accessible, and frugal. No two days are the same, but the initial months are operations-focused as you get familiar with our systems, with development work increasing over time. ## Core Responsibilities Maintain and improve existing Linux infrastructure stacks Respond to alerts, debug outages, and keep services healthy Take part in bi-weekly on-call rotation, responding to incidents and outages Work in Kubernetes, Salt, nginx, PostgreSQL, and various cloud providers Capacity planning and resource management ## Development Maintain and develop features for PSF web properties (python.org, us.pycon.org) Write code, review PRs, and ship changes users interact with Support PyCon US technical operations ## Internal Support Support PSF staff with technical needs and questions User support for services like python.org and psfmember.org Administrative support of services the PSF relies on ## Community Support Support volunteer contributors to PSF hosted services Support CPython core development and fiscal sponsorees Be helpful to people who maintain software in their spare time ## Details Location: Remote, US only. Must be authorized to work in the United States. Core hours aligned with EST. Compensation: $95K - 125K (depending on experience) Type: Full-time employee Benefits: 401(k), generous health care, dental, vision, PTO Travel: PyCon US annually Qualifications Ideal candidates will have 2-5 years of experience with Linux systems, some exposure to containers and orchestration, and enough Python to be productive. Willingness to learn, get paged, and dig into unfamiliar systems matters more than checking every box. Required: Experience with infrastructure-as-code tooling (Salt, Ansible, Terraform, or similar), Django, Linux administration, basic frontend knowledge, and software testing. Helpful: Kubernetes, PostgreSQL, Ubuntu server, Salt specifically, Python 3.11+, pytest, experience in open source communities.

Garland, TX, United States We are a high-volume automotive parts distribution business in Garland, Texas. This role owns and evolves Python systems that run inventory, internal processes, automations, reconciliations, vendor integrations, etc. Location Garland, TX (Hybrid). Candidates must live within reasonable commuting distance to our Garland office and be able to be onsite regularly. What you'll do Build and maintain Python services and automation for inventory tracking, order processing, ERP/WMS integrations, data pipelines, and internal APIs. Lead projects end-to-end (design, implementation, deployment, code review). Improve reliability, performance, and security in high-throughput systems. Troubleshoot production issues quickly and reduce repeat incidents. How Python is used Python powers our core automations, backend services, data pipelines, and integrations that move orders through high-volume fulfillment. How to apply Apply at: https://wellfound.com/jobs/3827193-senior-software-engineer-python-automotive-parts-supply-chain Or email us at: wpd.developers@gmail.com What we're looking for 5+ years professional software engineering experience, strong Python backend. Experience with FastAPI or Litestar, Pandas, SQLAlchemy, and relational DBs (MariaDB/PostgreSQL or similar). Track record building scalable systems for data-heavy or transaction-heavy workloads (e-commerce, inventory, distribution, supply chain a plus). Comfortable owning technical direction in small-to-mid teams. US citizenship required (no visa sponsorship available). Must be local to DFW for reliable hybrid attendance. Bonus AWS or Azure, message queues (RabbitMQ/Kafka), ERP integrations, or supply-chain tooling.

Mountain View, California, United States THIS IS A FULLY REMOTE ROLE - YOU MUST BE LOCATED EITHER IN THE US, CANADA or WESTERN EUROPE We're seeking a versatile DevOps Engineer to help scale our infrastructure and operations. This is a "wear many hats" position perfect for someone who thrives in a fast-paced, distributed environment and enjoys building systems that grow with the business. What You'll Do Design and evolve AWS infrastructure using Python and 3rd party libraries. Build and maintain provisioning systems that scale with our growth. Assist with and eventually lead the provisioning system and software release process. Develop internal tools for employees and partners using our stack (Python, FastAPI, nicegui, PostgreSQL, Vue.js). Manage security policies and respond to customer security questionnaires. Support our remote-first culture through robust, reliable systems. What we are looking for Strong experience with AWS infrastructure and Python automation. Proven ability to work independently in a remote environment. Excellent async communication skills and self-management. Experience building scalable systems from the ground up. Comfortable with security best practices and compliance requirements. Adaptability to wear multiple hats and tackle diverse challenges. We release often, including the weekend. You are available to work then. Our Stack AWS, Python, FastAPI, NiceGUI, PostgreSQL, Vue.js, plus various 3rd party integrations If you are ready to help a growing SaaS company scale please start your cover letter with “ I AM A VERSATILE DEVOPS ENGINEER” We'd love to hear from you. To be considered please fill out the click up form https://forms.clickup.com/2257368/f/24wer-68877/ON1CTQHI8FXGJURL5V

Hamburg, Germany We’re looking for a Senior Full-Stack Engineer to help us build and scale AIDAR, a live product used by music professionals to discover new artists. You’ll work across the stack, with a strong focus on backend systems, data, and product-driven features. In this role, you’ll take ownership of features end-to-end, contribute to technical decisions, and help evolve a production system as it grows in complexity and usage. Responsibilities - Build and maintain backend services and APIs (primarily Python) - Work with PostgreSQL, data models, and application logic - Contribute to data pipelines and ML-supported recommendation features - Collaborate on user-facing functionality together with the Flutter frontend - Improve system architecture, performance, and reliability - Work closely with the founders on product and technical direction We’re looking for someone who is comfortable taking ownership and working across different parts of the system. You should have Strong experience with Python in production environments Experience building and maintaining backend services and APIs Solid understanding of databases and data modeling (PostgreSQL or similar) Comfort working across the full stack, including collaboration with frontend Interest in data-driven or ML-supported systems (hands-on ML experience is a plus, not a requirement) Ability to work independently, make pragmatic decisions, and manage your own work Nice to have Experience with Flutter or mobile frontends Background in startups or small teams Interest in music, creative tools, or recommendation systems

San Francisco, CA, USA Software engineers at Mechanize create RL environments to sell to the leading AI labs. You might be a good fit if you are about to graduate university, or have 0-2 years of experience as a software engineer and can code in Python. No prior machine learning or AI experience is required. Read about how our interview process works here: https://www.mechanize.work/how-our-interview-process-works/ Python

Remote, Remote, United States About the Role We're hiring a Junior Full-Stack Developer to help us build technology that matters. At the Patrick J. McGovern Foundation, we believe that data and AI products can be catalysts for systemic change when built with rigor, deployed with intention, and designed alongside the people they're meant to serve. Our Products & Services team operates like a technical studio inside a foundation. Small team. High trust. Rapid cycles. We're looking for a Junior Full-Stack Developer to join us in building cloud-based tools that translate machine learning insights into actionable applications for the social sector. As a Junior Full-Stack Developer, you'll contribute across the entire development lifecycle—from cloud architecture and backend services to user-facing applications. You'll grow through doing: taking on increasing ownership, learning from experienced engineers, and shipping products that support real-world impact. If you're looking for a place to grow your craft while contributing to meaningful work, we want to hear from you. This is an early-career, growth-oriented engineering role for developers with a strong technical foundation and ready to deepen their experience building production systems in a mission-driven environment. Junior Full-Stack Developers progressively take on greater ownership over time, developing full-stack capabilities through mentorship, hands-on contribution, and exposure to end-to-end systems while learning how to balance technical quality, user needs, and impact. How you’ll make an impact: Collaborative Development: Work closely with the Director, Data Scientist, Full-Stack Developer, and Platform Engineer to understand project requirements and contribute to the development of AI-based products. Contribute to the vision and execution of product architecture, UI/UX designs, infrastructure deployment, and ensuring high-quality work output. Nonprofit Consultation Support: Contribute to consultations with nonprofit partners exploring data and technology solutions. The ability to explain technical concepts with empathy and clarity is critical, as this role helps equip partners with the tools and knowledge to succeed. Product Integration: Contribute to the design, development, and deployment of full-stack applications for cloud-based solutions that align with the rapid prototyping development approach, under the guidance of senior team members, with increasing ownership over time. Collaborate with the team to integrate ML model predictions into user-friendly interfaces, ensuring the reliability, safety, and scalability of the end products. User-Centric Design: Implement intuitive user interface s for AI-backed web and mobile applications. Understand end-user needs and requirements to design and develop applications that effectively address challenges within the social good sector. Prototype, test, and iterate on full-stack solutions, incorporating user feedback for continuous improvement. Cross-Functional Collaboration: Collaborate with team members to address communication, outreach, and resource needs related to front-end and mobile development. Ensure effective communication with cross-functional teams, contributing to the success of AI products. Learning & Growth: Seek and incorporate feedback through code reviews and pair programming. Grow familiarity with cloud infrastructure, deployment workflows, and system design. Build confidence working across the full stack over time, with mentorship and support. What We Offer Health Coverage – Foundation-paid medical, dental, and vision insurance for employees, spouses/domestic partners, and dependents. HSA/FSA plans, life insurance, and short- and long-term disability coverage. Long-term Rewards – 401(k) retirement plan with generous matching up to 6% of annual pay, plus an additional discretionary match at the end of the year. Flexible PTO – Progressive approach to PTO reflecting our respect for diversity, commitment to our team members, and ability to adapt to changing employee values. In addition, the Foundation recognizes 11 paid national holidays per year and may also announce closure for local, regional, or state holidays. Remote Work Environment – Ability to work 100% remotely, but not alone - with mature, socially minded professionals. Wellness Support – In addition to our health coverage, we offer access to Ginger+, an Active and Fit Gym membership discount, and Smart Spend Plus, along with financial well-being providers. Parental Leave – Up to 6 months of gender-neutral paid leave for parents and caregivers when they have a new addition to their families. Learning Reimbursements – Foundation policy encouraging employees to explore development opportunities such as peer learning, internal trainings, and external activities; savings on student loans (available via insurance provider). Philanthropic Gift Matching – opportunity for team members to support vulnerable communities, reflecting PJMF’s commitment to social impact. $70,000 - $106,000 a year Salary Philosophy PJMF is committed to fair and transparent compensation practices. Our salary ranges are informed by market data from peer organizations in our sector. Our salaries are competitive and equitable and align with peers in the same job group. Because salary ranges are small and the internal parity review is thorough, offers are firm. Starting salaries are typically placed in the lower half of the range. Final offers are determined by the scope of the position, the candidate's relevant experience, and internal equity. It is important to us that our hiring process is accessible to everyone. If you require accommodations to participate in the interview process, please let us know when you apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. What you will need to succeed: Experience – 1-3 years of professional experience in full-stack development, with proven expertise in both UI development and backend integration. Experience with Python-based codebases is required. Development – Proficiency in JavaScript, HTML, CSS, and experience with modern front-end frameworks such as React or React Native. Strong programming experience with Python or Go is strongly preferred. Experience with CI/CD tools (e.g., GitHub Actions, etc), source control (GitHub), and issue tracking (Jira) is also strongly preferred. Infrastructure – Familiarity with relational databases (e.g., PostgreSQL, MySQL) is required, and familiarity with NoSQL systems (e.g., MongoDB, DynamoDB) is a plus. Experience with cloud services (e.g. AWS), containerization (e.g., Docker), orchestration (e.g., Kubernetes), and Infrastructure as Code (e.g., Terraform) is also a plus, but not required. Communication – Excellent communication skills, both written and verbal, to convey technical concepts to diverse audiences. Teamwork – Effective team player who understands the responsibility every individual brings to the table and how to encourage and drive results from each team member; ability to work collaboratively within a high-performance, startup-like environment. High Performance – Ability to quickly learn new technologies and methodologies to ensure successful and timely completion of product development. Results-oriented – Highly organized and detail-oriented, self-driven, and able to adapt to learning and implementing new technologies, and creative in solving issues as they arise. Cultural alignment – An advocate for social progress; interest in emerging technologies and their ability to advance societal outcomes. Work eligibility – Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Toronto, ON, Canada About Fulfil Fulfil is the modern ERP for commerce. Built to power the fastest-growing eCommerce brands, our platform brings together order management, inventory, accounting, and more, turning complex operations into a strategic advantage. We’re trusted by brands like HexClad, Ridge Wallet, Caraway, and Resident, and backed by people who want to change the way merchant operations are run. We believe in deep work, radical accountability, and building tools that let sharp people move faster. About the Role As a Python Engineer (Full Stack & AI) at Fulfil, you will design and build next-generation systems that power millions of customer orders and financial transactions for some of the world’s fastest-growing merchants. Our Python-based platform operates at a significant scale, handling millions of transactions per hour. Your work will have a direct impact on system reliability, scalability, and product innovation. You’ll collaborate closely with teammates across Canada, the U.S., and India, working in a highly ownership-driven environment that values clean architecture, pragmatic engineering, and thoughtful problem-solving. Location: Toronto, Ontario (in-office 5 days per week) Type: Full-Time Expected Start Date: Immediately What You’ll Do Own the Full Stack Design, build, and maintain end-to-end functionality across our Python-based platform, from backend services to frontend integrations. Work within a large, mature codebase while contributing to its long-term evolution and scalability. Deliver Features at Speed Lead the design, development, testing, and deployment of new features that directly support high-growth merchants. Balance rapid delivery with long-term maintainability. Apply AI in Production Integrate AI-powered capabilities into Fulfil’s ERP using LLMs (e.g., OpenAI, Anthropic). Build intelligent workflows that enhance automation, decision-making, and merchant experience across orders, financials, and operations. Scale with Confidence Design and optimize REST and GraphQL APIs (600+ endpoints), microservices, and background processing pipelines. Work with containerized infrastructure (Docker/Kubernetes) to support high availability and zero-downtime deployments. Champion Code Quality Refactor and modernize legacy systems. Write well-tested, readable code using pytest. Participate in code reviews and architectural discussions to raise the bar across the team. Build Ecosystem Integrations Develop and maintain integrations with major commerce platforms (Shopify, Amazon) and logistics providers (FedEx, DHL). Ensure reliable data flows across external systems and Fulfil’s core platform. Required Experience 5+ years of experience, ideally, building applications at scale from scratch. Strong experience building large-scale backend systems and microservices using Python. Hands-on experience with ORMs (e.g., SQLAlchemy, Django ORM) and relational databases (PostgreSQL preferred). Proficiency with distributed systems components such as Celery, Redis, RabbitMQ, and background processing. Experience writing automated tests (pytest) and using Git in a collaborative environment. Demonstrated ownership—seeing projects through from design to production and ongoing support. Bonus Points Experience scaling systems at a high-growth tech company. Familiarity with cloud platforms (Google Cloud, Heroku, etc.). Passion for optimizing distributed systems or e-commerce workflows. Domain-Focused Product Engineering: Experience building or scaling production software in commerce, logistics, or operations domains (e.g., order management, inventory, fulfillment, WMS) or in FinTech/financial systems (payments, reconciliation, revenue recognition, invoicing).

Houston, TX, USA OVERVIEW I seek a highly qualified Python research software consultant to assist in refactoring, organizing, and documenting two related social science research codebases for publication-grade reproducibility and open-source public release. This is a short-term, remote consulting opportunity with competitive compensation. PROJECTS This work comprises two related components: PNAS Research Article Codebase Prepare for publication the Python hierarchical Bayesian modeling (HBM) codebase underlying a manuscript soon to be submitted to PNAS on global scientific production. This codebase requires refactoring, reorganization, and documentation to meet publication-grade standards of clarity, structure, and computational reproducibility. Advanced Data Analytics Platform Codebase Prepare for public release version 2.0 of an advanced data analytics platform built with Python, SQLAlchemy, and PostgreSQL as an open-source demonstration platform for research on the contemporary history of quantum information science (QIS). This role focuses on research software engineering, code organization, documentation, and reproducibility rather than on statistical model development. RESPONSIBILITIES Improve the clarity, structure, reproducibility, and maintainability of both codebases. Develop clear documentation, including README files, docstrings, in-code comments, and usage examples. Ensure reliable, reproducible execution from raw data to final analytical outputs. SCOPE The two codebases together include approximately 20 Jupyter notebooks, some as long as 3,000 lines. The consultant will focus on the highest-priority components necessary to produce a clean, reproducible, publication-ready codebase rather than refactoring every notebook in full. QUALIFICATIONS Ph.D., advanced graduate student, or experienced research software engineer in computer science, software engineering, data science, or a related field. Strong expertise in Python. Experience refactoring, organizing, and documenting research codebases. Experience preparing computational research code for peer-reviewed publication and computational reproducibility, especially code supporting a major article submission in computational social science or related fields, preferred. Experience with hierarchical Bayesian modeling preferred. Experience preparing codebases for open-source public release preferred. Experience with reproducible research practices, including environment management, workflows, and version control, preferred. Experience with SQLAlchemy preferred. ADDITIONAL INFORMATION Compensation: Competitive hourly compensation of $80–$150, with total compensation in the range of $7,000–$10,000, depending on qualifications, experience, and scope of work. Duration: Flexible, with total hours depending on consultant availability, qualifications, and final scope. All work must be completed by June 30, 2026. Location: Remote. HOW TO APPLY Please send a brief statement of interest outlining your background and relevant experience, together with your CV and links to any code samples or repositories, to: Professor Roger Hart, Department of History & Geography, Texas Southern University Roger.Hart@TSU.edu http://rhart.org/

Remote, United States About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position summary In this role, you’ll partner with government stakeholders and Nava’s engineering, design, and product teams to modernize data architectures and pipelines for critical public programs. You’ll design and implement scalable data models and databases, improve pipeline performance and security, and build systems that support the storage, processing, and analysis of large-scale data. You will support the data needs of multiple teams, systems, and products in addition to creating and optimizing our government partners' data architecture. What you'll do Work with cross-functional project teams to gather business requirements and translate to detailed technical specifications Work with Government partners to assist and develop data engineering applications and pipelines that will enable data services and processing capabilities, such as advanced analytics, AI/ML, and experimentation Design, develop, test, automate, and deploy data engineering solutions in a cloud platforms, such as AWS Participate in software design and code reviews Develop automated testing, monitoring and alerting, and CI/CD for production systems Required skills Minimum of 8 years of experience with professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, CI/CD, and Source Code Management Experience with building ETL pipelines to ingest, process, and store data Prior experience with Python programming for both data processing and server-side use cases Experience with data cleaning, modeling, schema design while protecting sensitive data Proficient with building data integrations using both API and file-based protocols Proficient with relational databases and advanced SQL queries, particularly with Postgresql Experience with using data observability tools to maintain data infrastructure and data quality Proficient in refining high-level goals into high-impact, low-effort tasks and milestones based on human-centered design practices to prioritize options for stakeholders Desired skills Experience using data observability tools to maintain data infrastructure and data quality Experience with AWS services like ECS, S3, CloudWatch, and Glue Infrastructure as code experience tools like Terraform Legacy modernization, especially with mainframes Comfortable troubleshooting complex data and systems interaction problems Please note: the level of the role will be determined by Nava leadership based on experience and skillset. Compensation $120,600 - $135,900 USD

Long Beach, Hybrid, California, USA Rebel Space Technologies is seeking a talented and experienced Machine Learning Engineer to join our team. Machine Learning Engineer: At Rebel Space, our mission is to protect critical space infrastructure through enhanced observability and space system cybersecurity. We believe that as space infrastructure expands, it will be increasingly difficult to secure and monitor these systems against critical failures or evolving cyber threats. To address this, we are building software that empowers developers and operators to rigorously evaluate and secure their systems from conception through to operations. Our technology supercharges space infrastructure, ensuring resilience against evolving threats in an increasingly complex environment. We’re looking for a talented Machine Learning Engineer to join us in pioneering the next generation of space system security. As a Machine Learning Engineer at Rebel Space, you’ll design, implement, and optimize ML models for anomaly detection in satellite communications. You’ll help architect secure, scalable infrastructure for ML workloads within demanding government and defense compliance environments. This position is ideal for someone who thrives in dynamic, fast-paced R&D environments, is comfortable building systems from the ground up, and has a bias toward elegant, performant, and reliable code. Responsibilities: Develop and maintain machine learning infrastructure that is portable and flexible, supporting deployments both in cloud environments and on edge devices Research, prototype, and survey different ML architecture and workflow optimization techniques Design and implement proof-of-concept custom optimizations, then demonstrate how these optimizations improve the performance of existing machine learning models when applied to actual real-world datasets. Build data collections, labeling pipelines, and evaluation pipelines. Research and develop machine learning models for physical sensor systems. Extend existing ML libraries and frameworks. Create and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews. Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs. Effectively participate in team planning, code reviews, and design discussions. Basic Qualifications: Bachelor's degree in Computer Science, Electrical Engineer, Physics or related technical discipline. 3+ years of relevant industry experience in data analytics and machine learning Strong expertise in scientific Python (NumPy, SciPy, Pandas) and modern ML frameworks (PyTorch, TensorFlow, JAX, Scikit-Learn, Keras) Proficiency in SQL and experience with relational or time-series databases Proven experience applying statistical modeling, data analysis, and inference to extract actionable insights from large and complex datasets Familiarity with overall big data analysis, system backend integration with new ML systems, and large-scale data processing Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings Excellent understanding of algorithms, data structures, and coding standards Strong communication and behavioral skills Motivated self-starter that can work autonomously and as part of a team Preferred Qualifications: PhD, Masters, or equivalent in Computer Science, Electrical Engineer, Physics or related field with 5+ years of professional experience in machine learning engineering Knowledge of experiment tracking, model deployment strategies, data versioning, and monitoring Experience with ML infrastructure tools (e.g. MLflow, Kubeflow, Airflow, feature stores, model registries) Prior experience with real-time data processing, prediction systems, or active learning pipelines Exposure to synthetic data generation techniques (GANs, simulation platforms). Experience designing reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews Experience at early-stage startups and remote-first organizations Passionate about building autonomous systems Benefits: Premium Healthcare Benefits: We offer comprehensive medical, dental, and vision plans at little to no cost to you. Stock Options: Own meaningful equity in Rebel Space. Generous PTO: Includes flexible vacation and company paid holidays. Maternity/paternity leave. Flexible hybrid work options. Opportunity to shape the future of space cybersecurity and observability! The estimated salary range for this role is $140,000-$220,000 + equity in the company, inclusive of all levels/seniority within this discipline. As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, location, educational background, and unique skills and abilities as demonstrated throughout the interview process. ITAR Requirements: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), applicants must be a US citizen, lawful permanent resident of the U.S., protected individual as defined by 8 USC 1324b(a)(3), or eligible to obtain the required authorization from the US Department of State. Learn more about the ITAR here. Rebel Space Technologies is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you. Basic Qualifications: US Citizen Bachelor's degree in Computer Science, Electrical Engineer, Physics or related technical discipline. 3+ years of relevant industry experience in data analytics and machine learning Strong expertise in scientific Python (NumPy, SciPy, Pandas) and modern ML frameworks (PyTorch, TensorFlow, JAX, Scikit-Learn, Keras) Proficiency in SQL and experience with relational or time-series databases Proven experience applying statistical modeling, data analysis, and inference to extract actionable insights from large and complex datasets Familiarity with overall big data analysis, system backend integration with new ML systems, and large-scale data processing Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings Excellent understanding of algorithms, data structures, and coding standards Strong communication and behavioral skills Motivated self-starter that can work autonomously and as part of a team Preferred Qualifications: PhD, Masters, or equivalent in Computer Science, Electrical Engineer, Physics or related field with 5+ years of professional experience in machine learning engineering Knowledge of experiment tracking, model deployment strategies, data versioning, and monitoring Experience with ML infrastructure tools (e.g. MLflow, Kubeflow, Airflow, feature stores, model registries) Prior experience with real-time data processing, prediction systems, or active learning pipelines Exposure to synthetic data generation techniques (GANs, simulation platforms). Experience designing reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews Experience at early-stage startups and remote-first organizations Passionate about building autonomous systems

Oakland, CA, United States Hi! I work on product & engineering at Redivis, and we're hiring a Research Advocate and Support Engineer to join our team. We're a data platform for academic research at leading U.S. institutions, and we're looking for someone to take ownership of building and supporting our growing community of researchers and data administrators. We’re looking for an empathetic, clear communicator who is proficient in Python, R, and/or SQL, and loves to write, present, and debug data pipelines. Apply here: https://redivis.homerun.co/technical-evangelist-and-support-engineer/en Company: https://redivis.com Location: Remote (United States) Salary: $140K + equity + benefits Strong technical proficiency in using Python, R, and/or SQL for data science. Solid understanding of data science principles, methodologies, and common tools. User empathy around the challenges and pain points when working with research data. Experience creating and maintaining teaching or support materials. Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly and concisely. Comfortable adapting to the needs of a highly diverse user base spanning numerous scientific disciplines and varying levels of data science expertise. Strong problem-solving skills and a methodical approach to troubleshooting.

Remote, United States Chime Engineering is growing rapidly as we scale to meet the financial needs of our members—and that growth depends on strong, secure, and efficient engineering foundations. We’re hiring a Senior Python Core Engineer- to join the Languages & Frameworks team within Engineering Services, with a mission to standardize and strengthen Chime’s Python ecosystem. Python is increasingly foundational to our data engineering, analytics, machine learning, and emerging AI initiatives. As Python adoption expands, we need clear ownership and stewardship over Python releases, packaging, base images, and shared libraries to reduce security risk, eliminate duplicated effort, add guardrails against AI generated code, and make builds and runtimes more reliable and reproducible. In this role, you’ll be the technical leader for Python foundations across the company responsible for owning the lifecycle of Python versions, defining best practices, improving build and dependency workflows, and maintaining key internal Python libraries. You’ll partner closely with platform teams, CI/CD stakeholders and data/ML orgs to drive improvements that make Python development faster, safer, and more scalable. The base salary offered for this role and level of experience will begin at $187,000 and up to $259,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to: *Own Chime’s Python version standards, upgrade cadence, and compliance, reducing EOL exposure and security patch lag *Design and drive safe, repeatable Python upgrade processes across services and shared libraries, enabling teams to adopt new versions with minimal friction *Establish clear dependency management practices (e.g., version locking policies, upgrade safety, library compatibility strategies) *Partner with CI/CD stakeholders to improve build performance, reliability, and developer experience for Python projects *Maintain and develop critical internal Python libraries including roadmap, quality, and adoption *Define and evangelize Python best practices (“the Chime way”), aligned with community standards, and support teams through documentation and enablement *Identify and drive opportunities to maximize returns from the Python + AI ecosystem, evaluating tools, practices, and vendor options that improve iteration speed and outcomes To Thrive in this Role, You Have: *5+ years of software engineering experience, with deep hands-on expertise in Python in production *Strong experience with Python build tooling, and an understanding of tradeoffs in versioning and distribution *Understanding of asynchronous and synchronous data-sharing patterns (pub/sub, RPC, caching, etc.). *Solid knowledge of containerized environments and build systems (Docker images, CI pipelines, caching, reproducible builds) *Experience building and maintaining shared libraries used by multiple teams, including API design, backwards compatibility, and release management *A security- and reliability-first mindset, especially around EOL management, patching and build integrity *Strong cross-functional collaboration skills—able to influence without authority and align multiple teams around standards and migrations *Comfort operating with ambiguous requirements, creating clarity through docs, prototypes, and incremental rollout plans *Bonus: experience working in/supporting data engineering and ML *Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

Warsaw (fully remote), Poland Senior Python Backend Engineer We’re looking for Python backend engineers to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT). Wow, that was a mouthful... If you found it interesting, join Reef Technologies and tackle complex technical challenges like this on your own terms: Contribute from wherever you like—we are fully remote but like to stay in sync, so we’re currently hiring in EMEA/APAC. Set your own time commitment, as long as it’s at least 30h per week See how we work in our handbook Influence the way we operate through our Sociocracy 3.0 decision-making process Salary on a B2B contract: 45-70 USD or 180-280 PLN per hour Flexible work schedule (as measured with a time tracker) We automatically adjust rates based on inflation twice a year So, what do you think? You don't even need a CV, just click here and shoot a few quick commands to apply. We're looking for someone with 5+ years of programming experience, including at least a year with Python (including opensource and significant personal projects).

Toronto, Ontario, Canada Deloitte is seeking an experienced GenAI & Python Specialist to join our dynamic Operate team on a 1‑year fixed term employment basis. In this role, you will design, build, and scale Generative AI solutions using Python‑based frameworks, Large Language Models (LLMs), and advanced retrieval‑augmented generation (RAG) techniques. What will your typical day look like? -Strong Python development for GenAI and agentic systems Design and implementation of Agentic AI workflows using LangChain, LangGraph, ADK, MCP Development and orchestration of multi‑agent systems Implementation of Retrieval‑Augmented Generation (RAG), including advanced RAG techniques Integration and management of vector databases for RAG workflows Design and implementation of memory systems (short‑term, long‑term, persistence, conversational checkpoints) Agentic AI design and orchestration across workflows Work with AI/GenAI models including Gemini and Claude 4.5 on Vertex AI Development of business co‑pilots, including co‑pilot solutions for Risk Analysts Support for business process optimization using GenAI Use of NLU as an add‑on capability where requiredContribution to CTO‑led tools, including: Agent Flow for observability, drift monitoring, feedback loops ML Flow for model evaluation and drift detection Sourcing test results management, including truth tables and evaluations Bringing Agent Flow into existing projects Domain‑specific GenAI solutions for DRO (Data and Regulatory Operations): QA validation and KYC document processing Systematic capture and validation of required fields Automated document checking without extraction Record retrieval and comparison (DNC, ANC, SMC) Agentic framework for document management, data analysis, and data engineering Co‑Labs initiatives: Consolidation across MCP endpoints Agent registries consolidation Combining assets into an accessible catalog Python‑based web scraping and utility development Work with existing Python GitHub repositories Integration with case management tools and Appian workflows (NA10) Building agents on top of Appian workflows using ADK You are someone with these skills, experience & qualifications: 6+ years of hands‑on experience designing and implementing AI / GenAI solutions using Python Strong proficiency in Python engineering for data processing, model integration, APIs, and microservices Deep understanding of Generative AI, LLMs, and NLP concepts and architectures Experience building agentic AI workflows using LangGraph, including multi‑step reasoning, tool‑calling, and planner–executor patterns Advanced knowledge of RAG techniques, including hybrid search, vector and multi‑vector retrieval, embeddings, and context optimization Experience designing and deploying APIs and microservices to production environments Familiarity with traditional ML/NLP techniques such as clustering, extraction, and enrichment to complement GenAI solutions Strong communication skills, a collaborative mindset, and a passion for continuous learning and innovation in the GenAI space

Fully Remote ›, United Kingdom SocietyWorks is the commercial division of the UK civic technology charity, mySociety, the organisation behind well used services such as FixMyStreet, WhatDoTheyKnow, TheyWorkForYou and WriteToThem. We’re a unique not-for-profit group providing services to both citizens and public sector organisations which are used by over 30 million people annually and have been deployed in over 40 countries worldwide. We build and deploy effective digital solutions to remove barriers to democratic participation, and to help public sector clients better serve citizens. Our friendly, high-performing agile team works remotely from a mixture of home and co-working spaces. We meet up regularly in teams, and as an organisation, in cities across the UK. We’re looking for Python developers with a willingness to learn Perl to join us and help to develop and support the rollout of our digital services for local authorities and other public sector clients. Our developers are self-motivated and driven to meet our client and user needs, contributing to our commercial and wider public benefit mission objectives. While this is a technical role, our developers also have strong communication and collaboration skills with the ability to translate technical information to a non-technical audience. This role is a good match for you if you’re motivated by our goals, interested in working across a range of projects, able to context switch across development and maintenance tasks, and have experience programming in Python and a willingness to learn Perl on the job to expand your existing skill set. What does the role involve? Objectives Contribute to the development and continual enhancement of SocietyWorks’ products and services by developing and delivering appropriate features to a high standard Develop your own and colleagues’ skills through feedback, code review, pair programming and collaborative design sessions Grow and maintain awareness of internal systems and technical trends in order to make good judgements about which problems to tackle and how Provide excellent client facing support including cross team liaison to deal with complex issues Collaborate with non-technical team members to deliver cross organisation goals, for example through giving demos to prospective clients (online or in person) or contributing to blog posts to support our sales and marketing growth strategies, as well as supporting our account and delivery managers with technical knowledge to interpret and respond to relevant client requests such as quotes Responsibilities Developers have both coding and communication responsibilities: Work with colleagues on technical and functional design of features, identifying problems with requirements Produce clean, efficient code that meets our development standards Understand how our codebases work, at both high and low levels Work with clients and partners to establish and document their needs Test, deploy and debug programs and systems Identify maintenance, security, bugs, fixes and improvements that could be made to existing software Support clients and partners in ongoing use of our services Work with the team to develop and refine roadmaps Prioritise workload effectively Create technical documentation Join the on-call rota (while out of hours call outs are rare, our client SLAs require that we have 24/7 support for business critical issues) Support non technical colleagues when developer input is required Requirements We think this position would suit you best if you have some or all of the following: Proficient programming experience in Python in a professional environment. Experience in Perl is a bonus. Experience in working with databases (such as PostgreSQL or MySQL) Experience with version control, preferably Git and GitHub Willingness to gain deep understanding of our work The ability to write clean, maintainable HTML, CSS, and JavaScript The ability to write and maintain test suites Experience of collaborating with others on web development projects; it would be a bonus if that was client-facing work Experience with the wider infrastructure surrounding busy web services, such as linux servers, load balancers, caches and similar systems would be an advantage. And we’d love to hear from you if you are: Keen and able to learn Friendly and motivated Comfortable working within an agile, multidisciplinary team environment A thoughtful and clear communicator Analytical, with a problem-solving approach Able to work in a responsible and self-directed manner, within a broader team Good at managing your own time and avoiding distractions Aware and realistic about your own strengths and weaknesses Got questions? Drop an email to Yolanda Gomes on recruitment2026@mysociety.org. Benefits This is a permanent contract with a salary in the range of £42,000 to £52,000 per year, plus pension (4% employer, 4% employee). You must be based in the UK and you need to have the right to work in this country (sorry, but we can’t offer help with visas or relocation expenses). We want you to enjoy being a part of the mySociety team, so we’ll do everything we can to support you in making your job work for you. We’re always willing to discuss flexible hours or co-working spaces. Wherever you are in the UK, and however you want to work, we’ll do our best to make sure you have everything you need to do your job well. Deadlines and dates The application deadline is 31 May 2026 and interviews will take place over the following few weeks via video conference. We will aim to notify applicants of whether or not they will be invited to interview by mid June. Application instructions Your application should consist of a CV and covering letter. We’ll rely on your covering letter to show us why your skills make you a good fit for this role when we are shortlisting candidates, so take your time getting it right. Click this link to apply. We are particularly interested in improving the diversity of our team and we welcome applications from all suitably skilled and experienced people, and particularly from candidates with Black, Asian or other Minority Ethnic heritage, in line with our EDI strategy. We are monitoring our recruitment processes to ensure we are doing everything we can to encourage applications from people of all backgrounds. We would ask you to please complete our optional equalities monitoring form. The information you share in the form will be anonymous and will not influence the assessment of your application. We will shortlist all applications anonymously. So please use your initials rather than your name on your CV and cover letter, and don’t include identifying details such as your name or email addresses on these attached documents.

London, United Kingdom We are seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting research and foundation model development. This role operates at the intersection of research scientists, ML engineers, and infrastructure teams, enabling rapid experimentation, prototyping, and model deployment. You are comfortable working in a high-ambiguity environment where requirements are often not fully defined. Understanding problems, gathering context (including through modern AI tools), and iterating quickly are key aspects of the role. You will contribute across the stack, building systems that support model development, evaluation, and integration into production workflows. This team operates in a hybrid working model from our offices in London. Responsibilities Develop and maintain backend and frontend applications and services Rapidly prototype solutions to support research and experimentation workflows Design, implement, and monitor CI/CD systems and deployment pipelines Build tooling for benchmarking, evaluation, and post-training workflows (e.g., harnesses, environments) Work with 3D data (meshes/BREPs) and support 3D geometry processing and rendering systems Develop and optimize data processing pipelines Identify and resolve bugs and system issues in a timely manner Collaborate with research scientists, ML engineers, and infrastructure teams to enable AI/ML solutions Use modern AI/GenAI tools to accelerate development, gather context, and validate outputs Contribute to shared codebases, ensuring quality, scalability, and maintainability Stay current with emerging technologies and apply them pragmatically in a fast-moving environment Operate effectively in situations with evolving or unclear requirements Strong programming skills in Python (or similar) Experience developing full stack applications (backend + frontend) Experience using modern AI/GenAI tools as part of the development workflow Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker) Experience with CI/CD tools and workflows Experience building or working with data pipelines Ability to work in fast-paced, ambiguous environments and drive tasks to clarity Bachelor's degree in computer science, Engineering, or equivalent experience Strong problem-solving, communication, and collaboration skills Additional Qualifications Experience building prototypes in research or experimental settings Familiarity with workflow/pipeline orchestration tools (e.g., Metaflow) Experience working with 3D data, CAD systems, or rendering techniques Experience with frontend technologies (e.g., JavaScript, React) Understanding of software architecture and design patterns Ability to work across multiple domains (systems, data, UI) as needed Interest in machine learning or AI systems

Fully Remote ›, United Kingdom SocietyWorks is the commercial division of the UK civic technology charity, mySociety, the organisation behind well used services such as FixMyStreet, WhatDoTheyKnow, TheyWorkForYou and WriteToThem. We’re a unique not-for-profit group providing services to both citizens and public sector organisations which are used by over 30 million people annually and have been deployed in over 40 countries worldwide. We build and deploy effective digital solutions to remove barriers to democratic participation, and to help public sector clients better serve citizens. Our friendly, high-performing agile team works remotely from a mixture of home and co-working spaces. We meet up regularly in teams, and as an organisation, in cities across the UK. We’re looking for Python developers with a willingness to learn Perl to join us and help to develop and support the rollout of our digital services for local authorities and other public sector clients. Our developers are self-motivated and driven to meet our client and user needs, contributing to our commercial and wider public benefit mission objectives. While this is a technical role, our developers also have strong communication and collaboration skills with the ability to translate technical information to a non-technical audience. This role is a good match for you if you’re motivated by our goals, interested in working across a range of projects, able to context switch across development and maintenance tasks, and have experience programming in Python and a willingness to learn Perl on the job to expand your existing skill set. What does the role involve? Objectives Contribute to the development and continual enhancement of SocietyWorks’ products and services by developing and delivering appropriate features to a high standard Develop your own and colleagues’ skills through feedback, code review, pair programming and collaborative design sessions Grow and maintain awareness of internal systems and technical trends in order to make good judgements about which problems to tackle and how Provide excellent client facing support including cross team liaison to deal with complex issues Collaborate with non-technical team members to deliver cross organisation goals, for example through giving demos to prospective clients (online or in person) or contributing to blog posts to support our sales and marketing growth strategies, as well as supporting our account and delivery managers with technical knowledge to interpret and respond to relevant client requests such as quotes Responsibilities Developers have both coding and communication responsibilities: Work with colleagues on technical and functional design of features, identifying problems with requirements Produce clean, efficient code that meets our development standards Understand how our codebases work, at both high and low levels Work with clients and partners to establish and document their needs Test, deploy and debug programs and systems Identify maintenance, security, bugs, fixes and improvements that could be made to existing software Support clients and partners in ongoing use of our services Work with the team to develop and refine roadmaps Prioritise workload effectively Create technical documentation Join the on-call rota (while out of hours call outs are rare, our client SLAs require that we have 24/7 support for business critical issues) Support non technical colleagues when developer input is required Requirements We think this position would suit you best if you have some or all of the following: Proficient programming experience in Python in a professional environment. Experience in Perl is a bonus. Experience in working with databases (such as PostgreSQL or MySQL) Experience with version control, preferably Git and GitHub Willingness to gain deep understanding of our work The ability to write clean, maintainable HTML, CSS, and JavaScript The ability to write and maintain test suites Experience of collaborating with others on web development projects; it would be a bonus if that was client-facing work Experience with the wider infrastructure surrounding busy web services, such as linux servers, load balancers, caches and similar systems would be an advantage. And we’d love to hear from you if you are: Keen and able to learn Friendly and motivated Comfortable working within an agile, multidisciplinary team environment A thoughtful and clear communicator Analytical, with a problem-solving approach Able to work in a responsible and self-directed manner, within a broader team Good at managing your own time and avoiding distractions Aware and realistic about your own strengths and weaknesses Benefits This is a permanent contract with a salary in the range of £42,000 to £52,000 per year, plus pension (4% employer, 4% employee). You must be based in the UK and you need to have the right to work in this country (sorry, but we can’t offer help with visas or relocation expenses). We want you to enjoy being a part of the mySociety team, so we’ll do everything we can to support you in making your job work for you. We’re always willing to discuss flexible hours or co-working spaces. Wherever you are in the UK, and however you want to work, we’ll do our best to make sure you have everything you need to do your job well. Deadlines and dates The application deadline is 31 May 2026 and interviews will take place over the following few weeks via video conference. We will aim to notify applicants of whether or not they will be invited to interview by mid June. Application instructions Your application should consist of a CV and covering letter. We’ll rely on your covering letter to show us why your skills make you a good fit for this role when we are shortlisting candidates, so take your time getting it right. Click the link below. We are particularly interested in improving the diversity of our team and we welcome applications from all suitably skilled and experienced people, and particularly from candidates with Black, Asian or other Minority Ethnic heritage, in line with our EDI strategy. We are monitoring our recruitment processes to ensure we are doing everything we can to encourage applications from people of all backgrounds. We would ask you to please complete our optional equalities monitoring form. The information you share in the form will be anonymous and will not influence the assessment of your application. We will shortlist all applications anonymously. So please use your initials rather than your name on your CV and cover letter, and don’t include identifying details such as your name or email addresses on these attached documents.

Remote, Remote, UK Back-end Python Developer (AI) - Remote - UK - excellent opportunity to join this innovative and fast-growing AI tech. organisation! Role Code Back End solutions confidently in Python, design and implement scalable architecture using cloud-native tools. Build and deploy AI-first features using Azure AI Foundry, Docker and AKS. Use Visual Studio Code (ideally with GitHub Copilot or similar AI coding assistants) Collaborate in a tight feedback loop: branch, commit, pull, test, ship - all through Github. Write unit tests and ship quality code, not just quick fixes. Participate in sprints and daily stand-ups Why join An excellent opportunity to join an incredible team, organisation - work lean, iterate fast, and learn quickly - perfect role for a Python Back End Developer with an Agile mindset who is curious, flexible, collaborative, unafraid to try new things and help design and build their AI platform. Skills/experience 2+ years solid commercial Python coding experience (Back End, API development would be great). Good understanding of Docker An Agile mindset and Experience working in agile teams, using Github for CI/CD, branching, pull requests, and automated testing. Nice to have: Kunernetes Comfortable with VS Code, ideally with AI coding tools like Copilot or VS Code agents. Understanding/experience of cloud-native patterns, and scalable architecture. Experience with Azure's native AI stack (AI Foundry, AI Search, Cosmos DB, AKS). Interest in experimenting with new AI frameworks and tools.

Durham, North Carolina, USA We are looking for Associate Principal AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA). Essential skills/Experience: Min Bachelor´s degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Desirable skills/experience: Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application. Strong publication record in the field of AI. Experience designing multi-agent systems in the pharmaceutical sector. Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Columbus, Ohio, United States Job Title: Python Developer Location: Columbus, OH (5 Days Onsite) Python, REST API, TDD, no-SQL,AWS Lambda, SNS/SQS, Terraform, API Gateway, ReactJS Note - Candidate must have banking domain experience and more than 4 years of onsite experience. Python Rest API TDD NoSql AWS Lambda Reactjs

REMOTE, REMOTE This is a FULLY REMOTE-WORLDWIDE position ActivePrime is a Silicon Valley Tech company As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code. Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data? Who we are NOT looking for *Agencies *People who are looking for a side “hustle” or are starting their own business *Anyone with less than 8 years of experience If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 8+ YEARS OF EXPERIENCE in all CAPS To be considered pls fill out this form https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y Required Skills: *Very proficient with Linux at the terminal level *Test-driven development (TDD) and pytest proficiency *7+ years Python experience *Polars experience *PostgreSQL expertise: schema design, optimization, advanced queries *Familiarity with, and adherence to, PEP guidelines and Python coding standards *RESTful API development and design best practices *Scalable architecture design for high-volume data environments *Security practices and vulnerability prevention *Bug identification and resolution with local testing *Thoughtful development centered around performance, deeply optimized code, and proper code organization *Git version control with branching strategies *English fluency (written/verbal) *Previous experience working for a US-based company.

REMOTE, REMOTE The Role We're seeking a versatile DevOps Engineer with Python language skills, to help scale our infrastructure and operations. This is a "wear many hats" position perfect for someone who thrives in a fast-paced, distributed environment and enjoys building systems that grow with the business. What You'll Do *Maintain and Evolve existing AWS infrastructure for Production and Development Environments. *Develop Automation and Purpose specific applications and Integrations. *Assist with and eventually lead the provisioning system and software release process. *Develop internal tools for employees and partners using our stack (Python, FastAPI, nicegui, PostgreSQL, Vue.js, NiceGUI, Ansible, among other tools). *Manage security policies and help with customer security compliance. *Support our remote-first culture through robust, reliable systems. What We're Looking For *Strong experience in Python development (Libraries, and Services, not just Backend API) *Experience delivering Python Modules across different environments. *Strong experience with AWS infrastructure management, configuration, deployment and monitoring. *Capacity of identifying problems and proposing solutions. *Proven ability to work independently in a remote environment. *Excellent async communication skills and self-management. *Experience building scalable systems from the ground up. *Comfortable with security best practices and compliance requirements. *Adaptability to wear multiple hats and tackle diverse challenges. *We release often, including the weekend. You must be available to work then. What you will need *AWS Dashboard (and CLI) experience *Python language experience *Linux environment experience *(Nice to have) Salesforce Admin/Dev Experience If you are ready to help a growing SaaS company scale please start your cover letter with “ I AM A VERSATILE DEVOPS ENGINEER” We'd love to hear from you. To be considered please fill out the click up form https://forms.clickup.com/2257368/f/24wer-68877/ON1CTQHI8FXGJURL5V

Remote, United States What We’re Building PJMF is building a suite of AI-enabled tools that will serve as the intelligence layer for modern philanthropy. Every year, foundations and corporate funders deploy hundreds of billions of dollars toward humanity's most pressing challenges—yet they do so using systems designed for compliance, not insight. Program officers spend more time reformatting documents and reconciling spreadsheets than learning from their portfolios or deepening relationships with grant partners. Grant Guardian, PJMF’s existing product, already helps hundreds of foundations use AI to streamline their financial due diligence workflows. The next step is a product that will place AI at the center of strategic philanthropy by automatically distilling grant applications into actionable insights, identifying patterns across thousands of grants, generating board materials in minutes, and lowering barriers for historically excluded organizations through features like proposal feedback and translation. About the role: We are seeking a self-driven Junior DevOps Engineer to contribute to the development, deployment, and maintenance of data and AI products that support positive social impact around the world. You will support the maintenance of the cloud infrastructure that powers our AI and data products, while contributing to the full-stack applications built on top of it. You will also work directly with nonprofit partners, helping them understand and adopt the tools we build. We are a small team. We work in short cycles and collaborate across disciplines. In this role, you will contribute directly to cloud-based applications that bring AI outputs into real use. This is an early-career, growth-oriented DevOps role designed for engineers who are building foundational experience in cloud infrastructure, automation, and deployment systems. The role operates under the guidance of senior engineers and progressively assumes greater responsibility as skills and confidence develop. How You’ll Make An Impact: Cloud infrastructure and operations. Maintain and improve our AWS environments using infrastructure-as-code. This includes VPC configuration, IAM policies, secrets management, logging, backups, and cost controls. Application development. Write frontend and backend production code for shared platform services and internal tooling. Our stack includes primarily Go, Python, JavaScript, and React. CI/CD and automation. Contribute to deployment pipelines using GitHub Actions. Automate testing, container builds, releases, and operational workflows like environment provisioning and dependency updates. Containerization and platform support. Support our Docker-based deployment platform, including build workflows, deployment strategies, and autoscaling. Observability and incident response. Implement and maintain metrics, centralized logging, alerting, and dashboards. Participate in incident response under the direction of senior engineers. Developer experience. Build and maintain internal documentation, service templates, and local development tooling that help the team move faster and debug with confidence. Partner collaboration. Work directly with nonprofit partners to support their adoption of our tools. You will translate technical concepts clearly, listen to how partners experience what we build, and bring that feedback into the product cycle. This is recurring, meaningful work, not occasional. Participate in stretch assignments and special projects in service of our broader strategic priorities. What you need to be successful: Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field is preferred. Equivalent practical experience may be considered; however, candidates with formal academic training in software or infrastructure-related disciplines are strongly encouraged. Development Experience: 1-3 years of experience in a DevOps, infrastructure, or full-stack engineering role. Programming: Working proficiency in Python or Go is strongly preferred. Experience contributing to production codebases is preferred. Cloud experience: Hands-on experience deploying or supporting production systems on AWS or a comparable cloud platform. Pipeline experience: Experience building and maintaining CI/CD pipelines using modern tooling (e.g., GitHub Actions, etc), source control (GitHub), issue tracking (Jira) and best practices. Infrastructure: Familiarity with relational databases (e.g., PostgreSQL, MySQL) is required. Exposure to containerization tools (e.g., Docker) and Infrastructure as Code (e.g., Terraform) is also expected. Team Collaboration & Communication: Ability to work effectively in a small, virtual, fast-moving team. Communicate clearly in writing and conversation, document work thoughtfully, and demonstrate growing technical judgment when balancing short-term delivery needs with longer-term system considerations. Work eligibility: Applicants must be authorized to work for any employer in the U.S. (No visa sponsorship available) Exposure We Value: Observability experience: Exposure to monitoring, logging, and alerting systems and participating in incident response or on-call rotations. Systems Fundamentals: Basic understanding of networking, system reliability, and security fundamentals Security Fundamentals: Awareness of basic security best practices and an interest in learning how infrastructure security is maintained. Cloud cost & sustainability: Interest in learning how teams monitor infrastructure costs and system efficiency.

Warsaw (fully remote), Poland Lead Python Backend Engineer We’re looking for Python backend engineers interested in team management to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT). Wow, that was a mouthful... If you found it interesting, join Reef Technologies and lead a team of senior engineers who tackle complex technical challenges. With us, you’ll work on your own terms: Contribute from wherever you like—we are fully remote but like to stay in sync, so we’re currently hiring in EMEA/APAC. Set your own time commitment, as long as it’s at least 30h per week See how we work in our handbook: github.com/reef-technologies/handbook Influence the way we operate through our Sociocracy 3.0 decision-making process Salary on a B2B contract: 75–90 USD or 300–380 PLN per hour, or 12600–15120 USD or 48000–60800 PLN a month if you work 40 hours per week (most of us work a bit less) Flexible work schedule (as measured with a time tracker) We automatically adjust rates based on inflation twice a year We're looking for someone with 2+ years of team management and 5+ years of programming experience (including at least a year with Python, open source and significant personal projects do count).

London, UK We're building the future of Revenue Management. AI agents that give short-term rental operators and independent hotels more money for less effort. We integrate directly with Booking.com, Airbnb, and PMS platforms via deep private API connections. The role: This is a flexible Hybrid role in London. You'll be the second engineering hire, working directly alongside Martin. Everything is on the table: backend systems, React frontend, Chrome extension, data pipelines, agent orchestration, and prompt engineering. You'll ship full features end-to-end, not tickets. We ship fast using Claude Code and AI-assisted development daily. If you're already running multiple PRs in parallel with AI tools, you'll feel right at home. What we offer: £80K–£90K base salary plus up to 1% equity (DOE). This is a founding role, you'll have real ownership of the product and the company. You'll shape technical direction, product decisions, and company culture from the ground floor. If you want to build something real with a small team that's already winning customers and growing fast, where your code ships to production the same day and your decisions shape the company then let's talk. What we're looking for: Previous startup or founder experience, you've built something from zero and know what that demands. Very strong Python (Django/Celery) and React. Comfortable across the full stack, backend, frontend, infra, data. AI agent development, prompt engineering, or data pipeline experience is a strong plus. You need to be based in London or able to come to our Canary Wharf office 2 days a week. We can't sponsor visas. Stack: Django, Celery, PostgreSQL, React, Chrome Extensions, Claude Code.

Suitland, MD, United States LightFront is seeking a Senior Python & SAS Developer (Data Modernization) to support a long-term Census contract. This role will focus on modernizing legacy federal statistical and survey processing workflows by translating existing logic into scalable Python-based solutions using tools such as pandas, PySpark, and modern data architecture patterns. This is a backend/data modernization role, not a traditional web application role. The developer will support legacy system analysis, backend data processing, database logic optimization, ETL and batch workflows, and cloud-based processing patterns. The work requires someone who is comfortable stepping into established systems, understanding how existing workflows operate, and carefully translating that logic into cleaner, more maintainable solutions without disrupting current operations. This role will be hired initially as a 1099 contractor under LightFront, a joint venture between Illumen Group and Spatial Front, Inc. (SFI), with the potential to convert to full-time employment in the new fiscal year. The role is remote after onboarding, but the selected candidate must report to the Census office in Maryland to retrieve equipment and complete PIV-related onboarding. If the candidate is not local, reimbursable travel will be coordinated after onboarding begins. Clearance / eligibility: Candidates must be U.S. Citizens due to federal contract requirements and must be able to obtain a Public Trust clearance. The clearance process typically takes 6–8 weeks, and candidates must be comfortable with that process and timeline before moving forward. The selected candidate will also need to report to the Census office in Maryland for equipment and PIV pickup after onboarding has started. Travel costs will be reimbursed for non-local candidates. The ideal candidate will have a strong Python background, with at least 4 years of experience in data processing, backend systems, or similar technical environments. This role requires someone who has worked with legacy systems and can translate existing business or data logic into Python-based solutions using tools such as pandas, PySpark, or similar libraries. Candidates should be comfortable working through unclear, messy, or long-standing workflows where the first step is understanding the current logic before rewriting anything. Candidates should also have at least 4 years of database experience, including writing, refactoring, or optimizing stored procedures, backend logic, and complex SQL. Experience with PostgreSQL, PL/pgSQL, Oracle PL/SQL, or similar database environments is important. The role also requires experience with data pipelines, batch processing, ETL workflows, job orchestration, troubleshooting, and performance tuning. AWS experience is also needed, ideally with services such as Lambda, SQS, SNS, IAM, or similar cloud services used in backend or data workflow environments. Linux experience is required, as the role will involve working in Linux-based development and processing environments. Experience with serverless architecture, Docker, Kubernetes, PySpark, R, or hands-on Base SAS production workflows is helpful, but not required. The strongest fit will be someone who has worked with legacy data systems, can translate existing logic rather than only build new features, is comfortable operating in less structured environments, and can balance support for older systems with modern Python, database, and cloud-based workflows.

Remote, NY, USA OPF is hiring a contract engineer to run the data collection phase of an emissions measurement study comparing edge versus cloud LLM inference across multi-modal AI workloads. The methodology is being designed by external advisors with prior published work on AI carbon measurement; the engineer's role is to implement that methodology rigorously, capture clean instrumented data, and hand it off cleanly to OPF's internal team for analysis and modeling. Findings will appear in a co-branded industry publication backed by a defensible methodology — meaning the public artifact is industry-format, but the underlying data has to withstand potential scrutiny. Engagement scope You will design, build, and run a Python-based testing harness that captures inference runtime, energy consumption, and component-level power across three edge devices and one cloud GPU instance, then deliver clean, documented outputs to the OPF analytical team for downstream modeling. The work spans Windows and Linux, three distinct hardware platforms (Intel Core Ultra with NPU, AMD Ryzen AI with XDNA NPU, NVIDIA L4 cloud GPU), multiple deployments (OpenVINO and Lemonade Server for local; vLLM, Triton, and/or FastAPI for cloud as appropriate per task); and two layers of measurement (software-based estimation and on-die telemetry). The engagement begins with a proof-of-concept phase on the AMD Ryzen 7 Pro laptop, focused on a single task (Basic Queries), to build the harness, telemetry, and methodology end-to-end before scaling to the rest of the platforms and tasks. Following this, a cloud GPU instance must be provisioned for cloud data collection and harness validation. Once the harness has been validated on one laptop and in the cloud environment, the approach will be scaled to the remaining laptops and tasks. Proof-of-concept outcome serves as an interim milestone before proceeding with the remainder of the engagement. See https://onepointfive.notion.site/job-spec-al-ml-engineer for the full job description. Required experience Strong Python proficiency, experimental discipline, and reproducibility practices Hands-on hardware telemetry — Intel RAPL, NVIDIA NVML, plus at least one of Intel SoC Watch / VTune, AMD μProf, or HWiNFO64 Working knowledge of at least one in-scope deployment (OpenVINO, Lemonade Server, vLLM, or Triton) Linux and Windows systems experience, including hardware performance counter telemetry Demonstrated reproducibility discipline: pinned environments, version-controlled configs, documented assumptions Strongly preferred Prior MLPerf Power or MLCommons Power working group submissions Published or contributed to AI energy / carbon measurement research or related sustainability topics Experience with NPU-class accelerators (Intel AI Boost, AMD XDNA, or comparable) Experience with GPU benchmarking methodology — DCGM telemetry, clock-pinning for reproducibility, or comparable practices Comfort working alongside external advisors and delivering well-documented handoffs to a downstream analytical team

San Francisco, CA, United States Metropolitan Transportation Commission (MTC) San Francisco, CA Principal Modeler – Model Development $152,501.86 - $193,409.22 Annually DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM The Metropolitan Transportation Commission (MTC) is the transportation planning, financing, and coordinating agency for the nine-county San Francisco Bay Area. MTC is the federally designated Metropolitan Planning Organization (MPO) and the state designated Regional Transportation Planning Agency (RTPA) for the nine-county San Francisco Bay Area. MTC provides services to the Association of Bay Area Governments (ABAG). For more information about MTC, visit www.mtc.ca.gov. EQUAL OPPORTUNITY EMPLOYER The Metropolitan Transportation Commission is an equal-opportunity, non-discriminatory employer. MTC provides all employees and applicants with an equal opportunity in every aspect of the employment experience regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, physical handicap, medical condition or marital status. DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM IF YOU ARE INTERESTED, PLEASE APPLY IMMEDIATELY A resume is highly encouraged with your application. Be ready to rethink your assumptions about the public sector. Dedicated and motivated colleagues? Beautiful, high amenity building for on-site work and collaboration? Flexible schedules and hybrid work options? Yes, yes, and yes! ABOUT THE SECTION The Regional Planning Program section at MTCABAG is a multidisciplinary team that applies data-driven planning to improve the trajectory of the San Francisco Bay Area. One of our core deliverables is Plan Bay Area, which we update every four years. This long-range plan lays out a set of strategies for how to achieve a region that is affordable, connected, diverse, healthy and vibrant for all. In developing the plan, our team takes on some of the most difficult and important challenges facing the region: how to make living in the region affordable for existing and future residents, how to create a safe and effective transportation system, and how to reduce greenhouse gas emissions. The section consists of four teams: Major Plans, Transportation Planning, Housing and Local Planning, and Forecasting/Modeling and Surveys. This principal position is within the Forecasting/Modeling and Surveys (FMS) team, which conducts data analysis and develops and applies modeling tools to analyze the impacts of potential strategies for Plan Bay Area. Our team strives to create quality modeling tools that embody our sections goals for planning excellence; we emphasize transparency by creating open-source models, and we value collaboration with other agencies and partners in developing shared resources. The FMS team focuses on the application of economic models, urban development models, and travel models, including developing new features for some of these models as new analysis needs arise. FMS also conducts regular travel diary surveys and transit passenger surveys to inform these tools and other research questions of interest to the agency. ABOUT THE ROLE The Principal Modeler in Model Development will lead development of our travel modeling tools to assess our region’s future and to evaluate potential strategies and policies to improve quality of life. In this role, the Principal Modeler will manage a consulting team working in travel model development, developing both major and minor features as needed for the travel model and associated tools. This will involve project management as well as hands-on development work. The Principal Modeler will also be involved in developing other modeling and modeling-related tools relevant to long-range planning, including land use forecasting models, population synthesis tools, and others. This role will also involve working with internal and external stakeholders to prioritize feature development and bug fixes for these tools. Finally, this role will include mentoring staff in technical development, representing MTC before a variety of groups, agencies, organizations, elected officials, and the public, requiring the ability to communicate effectively about technical topics with non-technical stakeholders; and performing other job related duties as required. Responsibilities The development and release of future versions of MTC’s modeling tools, including: • Implementing or updating features • Managing a consultant team in model development and network development tools. This includes reviewing pull requests and deliverables; project and budget management; discussing and resolving budget issues with appropriate staff and responsible agencies; negotiating, preparing and administering contracts, proposals, task orders and agreements. • Model calibration, validation and documentation • Presenting Model Development progress and features to stakeholders within the agency and with agency partners. Qualifications KNOWLEDGE, SKILLS, & ABILITIES Required Deep knowledge of activity-based travel modeling and network modeling Software development skills in python to implement modeling functionality, as well as to collect, clean, code and analyze data Interpersonal skills and an ability to work in a project and team environment Desired Experience synthesizing technical information to facilitate good policy and planning decisions Data visualization experience Knowledge of the complexity of the transportation system and land use/transportation issues facing the San Francisco Bay Area MINIMUM QUALIFICATIONS Any combination of training and experience that would provide the required knowledge, skills, and abilities listed. A typical way to obtain the required qualifications would be: Education and Experience: Equivalent to a bachelor’s degree from an accredited college or university with major coursework in planning, civil engineering, environmental science, communications, business or public administration, or a related field and seven (7) years of increasingly responsible professional experience in a field related to assigned area of responsibility PREFERRED QUALIFICATIONS Education: A Bachelor's degree in an appropriate field related to the area of assignment, such as transportation planning, city and regional planning; transportation engineering or modeling, financial management, economics, business or public administration. A Master's degree is desirable. Applicants with a degree issued from an institution outside the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with their application.

Remote - London UK, United Kingdom We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on Booking.com and Airbnb. We sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties — and right now we barely use it. Our agent is rules-based where it should be data-driven, and our promotions engine has no model behind it. We're looking for a founding ML/Data Scientist to change that. You'll turn dormant data into a smarter agent and a compounding moat. The Role You'll be the first person to seriously dig into our data, find the signals that drive revenue, and work with engineering to make the agent act on them. Find what matters — dig through Booking.com, Airbnb, and competitive data to separate signal from noise. Separate cause from correlation — when a promotion drives a booking, was it causal? When occupancy drops, is it pricing, seasonality, or competition? We want rigorous answers, not guesses. Turn insights into revenue — translate findings into logic the agent can use, measurably better than a human's. Shape the data strategy — decide what to track, what to enrich, and where the highest-value opportunities are. Ship to production — this isn't a notebooks role. You'll work inside our Django + ClickHouse stack alongside the engineering team. Logistics Remote-first for UK-based candidates. Expect to be in London for WeWork sessions a few days a month, flexibly, for onboarding, planning, and product work. Interview Process 1. 30-min non-technical call with the CTO Take-home data challenge using a sample of real OTA data 1-hour deep dive on your submission with the founding team In-person meeting with both founders Offer Why This Role Unique data — Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset doesn't exist at most companies. Real impact — your models drive revenue decisions for thousands of properties. High equity for our stage. A compounding moat — every property we add makes the data richer and the models better. Salary £70k–£100k · Equity 0.5%–1%. Who You Are A real data scientist who reaches for statistics and experiments first, and knows when a result is significant versus noise. Strong with time series. Causal by instinct — you don't confuse correlation with causation. You can design holdouts and A/B tests, and reason about confounders when a clean experiment isn't possible. Comfortable in the mess — real OTA data is dirty, sparse, and seasonal. You wrangle it, find the signal, and build features that predict revenue. Fluent in modelling — forecasting, uplift and causal models, and the judgement to pick the simplest thing that works. Ships to production — not a notebooks role. You write clean, deployable Python (pandas, NumPy, scikit-learn) and get your models live in our Django and ClickHouse stack. A product thinker who cares about revenue impact, not what's technically interesting. AI-first — you use AI coding tools with multiple agents to ship faster, ideally pushing into self-learning ML or agentic workflows. If you don't already use frontier AI tools, this isn't the role for you. Skills: Python · pandas · NumPy · scikit-learn · Time Series · Causal Inference · Forecasting · Experimentation · PostgreSQL · ClickHouse · Django · AI agents

LATAM, LATAM, LATAM Crehana is a B2B SaaS platform powered by AI that delivers integrated talent management solutions to clients across Latin America — skills, learning, performance, and career development in one place. Our mission: make people development universal. We're looking for a hands-on Tech Lead. Someone who leads by example: you set the technical direction, mentor your team, and when the moment calls for it, you roll up your sleeves and write code. What you'll own: Architecture and technical decisions for scalable backend services Code quality standards, code reviews, and CI/CD practices Mentorship and growth of your engineering team Collaboration with Product and DevOps to ship impactful features Stability, security, and evolution of our platform Tech stack: Python + FastAPI (required) Docker / Kubernetes / microservices AWS, GCP, or Azure PostgreSQL, MySQL, MongoDB REST APIs / GraphQL (nice to have) Terraform (nice to have) Apply: https://www.crehana.com/p/crehana/jobs/2ca97417-9f01-48a6-a426-7950565e7672/ We're looking for a hands-on leader who still writes code when it matters. This could be someone who has already led engineering teams working with Python and modern backend stacks — or an experienced engineer with deep technical expertise who is ready to step into a leadership role for the first time. Must-have Experience leading engineering teams (junior and mid-level), or a seasoned engineer ready to take that next step Strong Python proficiency with FastAPI Hands-on experience with microservices, Docker, and Kubernetes CI/CD pipelines and automated testing practices SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB Cloud platforms: AWS, GCP, or Azure Security awareness and compliance standards Strong communication, collaboration, and problem-solving skills Comfortable with agile methodologies (Scrum, Kanban) Nice to have RESTful API design and/or GraphQL Terraform for infrastructure as code

Bangalore, Pune, India We are seeking a highly skilled and innovative Python / AI Engineer to join our team and help us build the next generation of AI-powered enterprise systems. We are actively investing in LLMs, agentic workflows, and applied AI systems, but much of this potential is still untapped. Today, our AI initiatives are fragmented—PoCs exist in silos, LLM integrations are early-stage, and there is no unified intelligence layer across the application landscape. We’re looking for someone who can change that. You will sit at the intersection of engineering, R&D, and business teams, turning AI experimentation into production-grade systems that deliver measurable impact. This is not a “model training-only” role—you will be expected to design, build, and ship end-to-end AI solutions. The Role You will be the first deep technical owner responsible for turning our AI ambition into real, working systems that drive business outcomes. Build and productionize AI systems — Design and implement LLM-powered applications, AI agents, and intelligent automation workflows that integrate directly into our core product ecosystem. Develop PoCs and scale them into production — Rapidly prototype AI/ML solutions, validate feasibility with stakeholders, and evolve them into scalable, reliable services. Integrate LLMs into real business workflows — Work with APIs, orchestration frameworks, and model providers to embed LLM capabilities across applications (chat, reasoning, summarization, retrieval, and automation use cases). Design intelligent systems, not just models — Focus on end-to-end architecture: data flow, prompt orchestration, memory, evaluation, guardrails, and feedback loops. Bridge R&D and engineering — Translate research ideas and business problems into working AI systems that can be deployed, monitored, and improved iteratively. Drive AI adoption across the organization — Collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities where AI can meaningfully improve efficiency or decision-making. Skills required: 1.Minimum 8+ years of experience in AI/ML development. 2.Advanced proficiency in Python. 3.Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch). 4.Expertise in at least one LLM (e.g., GPT, Claude, LLaMA). 5.Solid foundation in Data Science and statistical modeling. 6.Experience with Agentic Workflows using LangChain-based agents. 7.Hands-on experience with LangGraph (e.g., hackathons or MCPs). 8.Deep understanding of fine-tuning techniques for LLMs. 9.Hands-on experience with Transformer architecture and its evolution from earlier models. Responsibilities: 1.Design and develop PoCs and present them to business stakeholders. 2.Build and deploy innovative AI solutions using state-of-the-art models. 3.Integrate LLMs into existing and new applications. 4.Develop new functionalities within R&D applications. 5.Promote and implement best process practices across AI development workflows.

Illinois, Chicago, United States We are looking for an experienced Python / DevOps engineer to complete a one-time private setup of a Chatterbox-based voice-cloning system. The role includes deploying the model in a secure private environment, building a simple internal web interface for non-technical users, and ensuring that all voice samples and generated audio remain inside our own infrastructure. This should be a straightforward project for someone experienced with Python, server deployment, and basic web application setup. Job requirements Strong experience with Python and Python environments. Experience deploying AI or machine-learning models on servers. Basic web development skills to build a small internal web page or API. Understanding of security and access control for internal tools. Ability to work independently on a one-time setup project. Clear communication and ability to provide simple handover documentation. Experience with DevOps, server deployment, or internal tools is a plus.

REMOTE, REMOTE As a software engineer, you'll join a team tackling complex challenges in automating, streamlining, and scaling engineering and support workflows through the development of critical APIs and applications. This role requires actual engineering thinking to build robust internal systems. Ready to tackle complex engineering challenges that directly impact how our engineering and support teams work? Who we are NOT looking for: Agencies People who are looking for a side “hustle” or are starting their own business To apply: please fill out this form: https://forms.clickup.com/2257368/f/24wer-176357/RX6L92YGBHLB386KYI Additionally, please start your cover letter with: “I AM A PYTHON ENGINEER FOCUSED ON DEVOPS AND INTERNAL TOOLS” (in ALL CAPS) Required Skills: Core Engineering Strong Python experience Test-driven development (TDD) and pytest proficiency Familiarity with, and adherence to, PEP guidelines and Python coding standards Thoughtful development centered around performance, deeply optimized code, and proper code organization Bug identification and resolution with local testing Infrastructure & DevOps Experienced with Linux at the terminal level RESTful/CRUD API development and design best practices Designing and implementing resilient, internal-facing APIs and infrastructure tools Security practices and vulnerability prevention Git version control with branching strategies Databases PostgreSQL experience: schema design, optimization, advanced queries Professional Requirements English fluency (written/verbal) Previous experience working for a US-based company

100% Remote, USA Six Feet Up is seeking a Senior Data Engineer with deep experience designing, building, and maintaining secure, scalable data systems. In this role, you will work with cross-functional teams to turn complex data challenges into reliable production solutions. You will design data pipelines, build processing workflows, improve data quality, support machine learning initiatives, and help clients make better use of structured, unstructured, time-series, sensor-based, and high-volume data. We are looking for someone who can bring technical leadership, sound engineering judgment, and strong communication skills to ambiguous data problems. The ideal candidate is comfortable working across data engineering, cloud infrastructure, machine learning support, and production software delivery. As a Senior Data Engineer, you will: Design, build, and maintain robust, scalable data pipelines Develop ETL/ELT workflows for collecting, transforming, validating, and storing data Work with cloud-based data processing and storage systems Implement data validation, quality checks, monitoring, and transformation workflows Process complex datasets, including noisy, high-volume, time-series, sensor, or device-generated data Support machine learning workflows, including data preparation, model training, evaluation, and production integration Collaborate with data scientists, researchers, software engineers, and client stakeholders Translate prototype data workflows into reliable, maintainable production systems Create systems that are well-documented, testable, secure, and ready for audit or review Communicate technical tradeoffs clearly to both technical and non-technical audiences If you are a motivated Senior Data Engineer seeking a challenging and meaningful role, we encourage you to apply. We are looking for someone with strong hands-on experience in: Data pipeline architecture and implementation ETL/ELT orchestration tools such as Airflow, Dagster, or similar platforms Python-based data engineering and data processing tools Cloud-based data infrastructure, storage, and processing Data modeling, schema design, validation, and quality-control practices Working with public, proprietary, structured, and unstructured datasets Time-series, sensor, IoT, or other high-volume data sources Supporting machine learning or data science teams with reliable data workflows Building reproducible, testable, and maintainable data systems Version control, automated testing, and collaborative software development practices Strong candidates may also have experience with: Machine learning pipelines for classification, prediction, recommendation, or categorization systems MLOps, model evaluation, experiment tracking, and reproducible ML workflows Processing noisy signal data or other data that requires cleaning, filtering, or feature extraction Healthcare, digital health, research, or regulated software environments HIPAA, privacy-preserving data architecture, or secure cloud data processing Working with sensitive, clinical, or user-generated data Helping researchers or domain experts scale early-stage algorithms into production-ready systems Designing systems that support thousands or more users A Plus: Experience with containers, CI/CD, DevOps practices, or Kubernetes Familiarity with AWS, Google Cloud, Azure, or similar cloud platforms Experience with consumer analytics, dashboards, or data visualization products Experience supporting FDA, SaMD, clinical validation, audit, or regulatory documentation efforts Experience designing secure data workflows for privacy-sensitive applications About You You are a senior engineer who brings structure to ambiguous technical challenges. You ask thoughtful questions, identify risks early, and know how to balance research needs, business goals, engineering quality, and long-term maintainability. You care about data quality, privacy, testing, documentation, and clear communication. You are comfortable designing architecture, writing production code, reviewing data workflows, and collaborating with people from different technical backgrounds. You enjoy helping clients move from ideas and prototypes to secure, scalable, production-ready systems.

Durham, North Carolina, USA We are looking for Agentic AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA). Essential skills/Experience: PhD in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Desirable skills/experience: Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application. Strong publication record in the field of AI. Experience designing multi-agent systems in the pharmaceutical sector. Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Montreal, QC, Canada Role Overview As Data Acquisition & Infrastructure Engineer, you will be the foundation of MAI's data capabilities. Your primary focus will be the development and operation of automated data collection pipelines that aggregate publicly available information from across the art market ecosystem. You will also own the design and maintenance of the underlying database infrastructure — built on PostgreSQL and AWS — that stores and serves this data. This is a high-ownership role. The infrastructure is partially built; you will take it to production scale. You will work closely with AI engineers, a computer vision engineer, a product manager, full-stack developers, and the Head of Art Research, reporting directly to the Head of AI Engineering. Key Responsibilities DATA PIPELINE & COLLECTION Architect and maintain automated pipelines that collect, normalize, and ingest publicly available art market data from web-based sources Build reliable, maintainable collection systems using Python (Scrapy, BeautifulSoup, Playwright, or equivalent), with a strong emphasis on resilience, scheduling, and data freshness Manage pipeline orchestration and scheduling using tools such as Apache Airflow, AWS EventBridge, or cron Navigate the practical challenges of large-scale public data collection, including access patterns, rate constraints, and source reliability Handle messy, inconsistent real-world datasets — clean, transform, and standardize data for downstream consumption DATABASE ENGINEERING Design, build, and maintain relational database schemas in PostgreSQL (hosted on Amazon RDS) to support complex, multi-entity art market data — artists, works, transactions, provenance, and valuation history Develop and optimize queries, indexes, and data models to ensure performance at scale Establish and enforce data quality standards, validation rules, and integrity constraints across the database Collaborate with AI engineers and the computer vision team to ensure the data layer supports model training and inference requirements INFRASTRUCTURE & OPERATIONS Deploy and manage pipeline workloads on AWS (Lambda, EC2, S3, RDS) Monitor pipeline health, data freshness, and system reliability — proactively address failures Contribute to infrastructure-as-code practices as the team scales Core Requirements 3–5 years of professional experience in data engineering or a closely related discipline Proven experience building and maintaining automated data collection pipelines from web-based public sources using Python (Scrapy, BeautifulSoup, Playwright, or Selenium) Strong data cleaning and normalization skills, with demonstrated ability to handle heterogeneous, inconsistent real-world datasets Solid PostgreSQL experience: schema design, query optimization, and database maintenance Hands-on AWS experience: Lambda, EC2, S3, RDS Experience scheduling and orchestrating data pipelines (Apache Airflow, AWS EventBridge, or equivalent) Experience navigating the constraints of large-scale public data collection, including reliability, access patterns, and data freshness challenges Nice to Have Knowledge of data quality frameworks and validation pipeline design Experience with containerization (Docker) and infrastructure-as-code (Terraform, AWS CDK) Familiarity with ETL/ELT tooling (dbt, AWS Glue, or equivalent) Exposure to art market platforms (Christie's, Sotheby's, Artsy, Artnet) or understanding of how auction and gallery data is structured Background or genuine interest in the art world, collectibles, or alternative asset markets Experience in a startup or early-stage environment where ownership and adaptability are essential

Remote, Remote Contract hours: Full time Location: Remote (within 2 hours of London timezone) Salary: €25k - €30k depending on experience About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a talented Junior Python Developer to join our fast moving AI & Innovation Team. You will play a vital role in building and maintaining our full stack - scaling robust backend services, while developing the user facing web components that power our cutting edge AI products and jobseeking tools. You’ll be working in a tight knit, cross-functional team alongside Product Managers, Data Scientists and Senior Engineers. This is a high growth role where you will learn how to transition machine learning prototypes into robust, production ready applications for millions of users, while simultaneously honing your coding, frontend and architecture skills. What You'll Do Fullstack Development: Write clean, testable, and efficient Python code to support our core AI products and automated search and apply tools. Model Integration: Collaborate closely with our Data Scientists to integrate machine learning models, LLM pipelines and agentic frameworks into our live production stack. API & Data Pipelines: Build and maintain scalable APIs and data workflows to handle large volumes of job vacancy data. Infrastructure & DevOps: Help manage and optimise our AWS infrastructure, ensuring high availability and smooth deployment processes. Testing & Quality: Write robust unit and integration tests to ensure system reliability and mitigate deployment risks. Tech Stack Includes Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: 1–2 years of commercial software development experience using Python Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Solid understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Good working knowledge of SQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Mindset: A curious, proactive fast learner who loves solving technical puzzles and is excited by the AI/ML space. Nice to have Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. AI Applications: Experience with coding LLMs into production applications, and effectively utilising LLM coding tools in your daily workflow. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects.

Remote, Remote, Remote Role Overview: We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus. What does day-to-day look like: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring. Translate business objectives into robust ML architectures that accurately capture business logic and context. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field. 4+ years of hands-on DS/ML development experience, Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.). Ability to understand and apply different models to real-world use cases Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics. Proven ability to design scalable, production-grade ML systems. Preferred Qualifications: Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers). Experience with cloud data platforms (Databricks, AWS, etc.) Hands-on experience with PySpark and Databricks Platform Stay up-to-date with the latest advancements in machine learning and artificial intelligence. Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench Experimenting with new technologies and frameworks based on Research papers published in top conferences and journals Perks of Freelancing With Turing: Work in a fully remote environment. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Evaluation Process (approximately 75 mins) : Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins

Remote, Remote, Anywhere Job Description Job Title: Python Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: Design, develop, and optimize REST and GraphQL endpoints for scalable APIs. Drive data validation, error handling, and security best practices within backend services. Plan and execute database migrations, optimizations, and schema changes as needed. Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots. Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows. Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements. Submit detailed post-burst surveys, delivering insights on model performance and developer experience. Required Skills and Qualifications: 3+ years of professional experience as a backend developer, with strong expertise in Python. Proficient in building and maintaining RESTful and GraphQL APIs. Advanced understanding of backend data validation, error handling, and API security. Hands-on experience with database migrations, performance tuning, and schema design. Extensive use of AI tools for coding; familiarity with Cursor is highly desirable. Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting. Proven ability to thrive in fast-paced, confidential, and collaborative remote environments. Preferred Qualifications: Visible contributions to open source (e.g., GitHub stars or contributions). Experience designing or evaluating experimental tooling and developer workflows. Demonstrated enthusiasm for AI advancements in software development.

Glasgow, Scotland, United Kingdom THE OPPORTUNITY You will build and own the modelling-and-learning capability at the heart of LumiAIres: the simulation, encoding–decoding, and machine-learning layer that makes light compute. This is a durable company function: the digital twins, encoding schemes, and readout models you build become reusable assets across every product generation and customer programme. Your immediate focus is our current flagship programme, LUMINA, which leads the high-fidelity digital twin and encoding–decoding scheme, turning the twin into the customer-facing pre-evaluation environment that lets integrators assess our technology before silicon is in hand. Our photonic core behaves as a physical computing medium. Your job is to model how light computes inside it and to train the models that read the answer out. You will work closely with the Integrated Photonics Lead on physical validity, with our academic partners on encoding–decoding, with the Applied Photonics Engineer on validating predictions against measured silicon, and with the Full-Stack Software Engineer on productising the twin. You are the bridge between physics and learning, modelling how light computes inside our photonic core, and training the models that read the answer out. As we scale, this role can grow into ownership of LumiAIres' modelling and machine-learning function and the team behind it. CONTRACT & PROGRESSION CONTRACT TYPE: 18-Month Fixed Term Contract LOCATION: Glasgow, Scotland (Hybrid) SALARY: TBC per annum REPORTS TO: CTO (currently the CEO) POTENTIAL FOR PERMANENT ROLE: Yes — Glasgow or Paris (determined within the first 12 months) START DATE: To be agreed This role is offered initially as an 18-month Fixed Term Contract based in Glasgow. Given the portable nature of the modelling work, the permanent position offers location flexibility as the company scales. WHY LUMIAIRES Work at the frontier of photonic AI, technology with the potential to reshape how the world processes information. A founding team with deep expertise in photonics, neuromorphic computing, and commercial strategy. Exposure to global investors, strategic partners, and government stakeholders from day one. A genuinely values-led company building for the long term. Flexible, trust-based culture with real ownership and impact. HOW TO APPLY To express interest in this role, please send a CV and a short covering note describing your background in optical or photonic simulation and machine learning, any modelling or digital-twin work you have delivered, and what draws you to photonic computing. Applications and initial conversations are treated in strict confidence. KEY RESPONSIBILITIES The role is structured around four core pillars: Photonic & Optical Simulation Model the photonic core and full signal chain using established optical-simulation and numerical wave-propagation methods. Build, maintain, and validate the high-fidelity digital twin of the photonic processor. Quantify how design and fabrication choices affect computational behaviour, feeding insight back to the photonic design team. Encoding, Decoding & Core Behaviour Design and optimise input encoding and output decoding schemes for the photonic platform. Characterise how the photonic core behaves as a physical computing medium. Co-own encoding–decoding optimisation with our academic partners. Machine Learning & Readout Develop the readout models and associated training pipelines. Build the learning loop that improves inference over time and feeds our software tools. Optimise the mapping of machine learning inference onto the photonic hardware. Customer-Ready Twins & Validation Harden the digital twin into a pre-evaluation environment that integrators can run, with the Full-Stack Software Engineer and the Strategic Partners Lead. Validate twin predictions against measured silicon in partnership with the Applied Photonics Engineer. WHAT WE ARE LOOKING FOR A strong computational scientist or engineer with an advanced degree (MSc or PhD) in applied mathematics, computational or theoretical physics, electrical engineering, computer science, or a related quantitative field. Strong optical and photonic simulation skills, including transfer-matrix and numerical wave-propagation methods (or equivalent). A grounding in practical machine learning — model training, evaluation, and pipeline development (Python; NumPy / SciPy and PyTorch / JAX or similar). Strong scientific software practice and the ability to turn physics into validated, maintainable code. Familiarity with photonic neural networks, optical, or neuromorphic computing is a strong advantage. Experience with digital-twin or hardware-in-the-loop modelling, active-learning methods, or working alongside experimental and academic teams is welcome. Comfort in an early-stage, fast-moving environment where structure is built, not inherited.

Remote, Remote, Remote Role Overview: This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs. What does day-to-day look like: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes. Requirements: 3+ years of strong experience with Python programming language. Industry experience and knowledge of code quality, formatting, and best practices of software development Experience with Python’s testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Python. Ability to work with architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Fluent in conversational and written English communication skills

100% Remote, USA Only Six Feet Up is seeking a seasoned Python/DevOps Engineer (100% remote, USA only) who can work across software development, architecture, cloud infrastructure, data, AI, and client collaboration. This role is for an experienced engineering generalist: someone with deep expertise who is not limited to one framework, platform, or layer of the stack. You are comfortable entering unfamiliar systems, clarifying ambiguous problems, and applying sound judgment where it creates the most value. You also understand that AI has changed software engineering. You use AI-assisted development tools to accelerate research, implementation, testing, documentation, and troubleshooting while remaining accountable for the quality, security, and correctness of the result. One project may involve modernizing a mature Python application. Another may require designing an API, building a data workflow, integrating AI capabilities, or improving cloud infrastructure and observability. This role is a strong fit for someone who is curious, pragmatic, collaborative, and ready to work on the problem that matters most. Apply online: https://sixfeetup.com/company/senior-python-developer-devops-engineer-us-only Strong candidates will have meaningful experience in several of the following areas: Python Django, Wagtail, FastAPI, Flask, or comparable frameworks REST, GraphQL, event-driven systems, and third-party integrations PostgreSQL and relational data modeling JavaScript or TypeScript and modern frontend frameworks Automated testing, code quality, and continuous integration Docker and containerized application development AWS, Azure, or another major cloud platform Kubernetes and cloud-native application delivery Infrastructure as code and deployment automation Integration of AI/ML capabilities into production systems AI-assisted development workflows Application performance, observability, and production troubleshooting Secure practices such as least-privilege access, secrets management, dependency management, and remediation of common application vulnerabilities Data ingestion, transformation, or processing workflows Authentication, authorization, SSO, and secure application design Legacy system modernization and incremental migrations As a Senior Python/DevOps Engineer, you will: Work with clients and teammates to understand business goals, user needs, constraints, and desired outcomes. Design and deliver secure, maintainable, well-tested software across application, data, integration, and infrastructure boundaries. Use AI tools responsibly to accelerate development while reviewing and validating generated code, tests, analysis, and recommendations. Rapidly evaluate emerging technologies and determine where they can improve delivery, quality, security, or developer productivity. Help evolve how the team uses AI for coding, testing, code review, documentation, debugging, estimation, discovery, and delivery. Work with delivery leads to turn unclear initiatives into practical, incremental technical plans. Identify architectural, security, privacy, performance, reliability, and delivery risks early. Contribute across the application stack, including backend services, APIs, databases, integrations, frontend applications, data workflows, and cloud infrastructure. Improve testing, deployment automation, observability, documentation, and developer workflows. You are an experienced software engineer who: Learns publicly by sharing findings, examples, warnings, and practical guidance with teammates. Can solve problems that cross traditional boundaries between development, data, infrastructure, and operations. Makes decisions based on client needs, project constraints, maintainability, risk, and long-term value. Communicates progress, uncertainty, risks, and blockers openly. Treats learning, experimentation, and technical reinvention as part of the job, not something reserved for spare time. Is energized by rapidly changing technology and comfortable replacing familiar workflows when a better approach emerges. Learns publicly by sharing discoveries, failures, limitations, and useful techniques with the team through demos, documentation, pairing, and technical discussions. You are successful when you: Understand our clients’ problems and aspirations. Proactively seek and provide actionable feedback from and to peers. Are reliable in delivering work and escalate issues quickly when needed. Promote best practices while following company methodologies to ensure quality and stability.

Remote (US Based), Any US State, US Fusionbox is a software engineering consultancy that builds enterprise software the right way. We negotiate the right to open source all our client code, maintain a handful of popular libraries, and our engineers contribute to Django core. We sponsor PyCon, DjangoCon, and Django Girls because we're invested in the ecosystem we build on. We're looking for software engineers who value software design, system architecture, and collaboration. You should be strong in most of these areas: web application security, relational database design (PostgreSQL query plans, indexes, and constraints, not whatever the ORM emits), Django internals, React, and distributed systems. What you'll actually work on: complex state machines for financial workflows, multi-tenant architectures with row-level security, custom database functions when the ORM isn't enough, and React frontends that handle real-time data without being a mess of useEffect race conditions. A note on how we work: we think deeply about the systems we build, and we believe understanding comes from doing the work yourself, not from handing it to a model. If you ship code you don't understand, we're genuinely not a fit, and that's fine. If that paragraph made you nod, we want to hear from you. We're a small team where you'll own features end-to-end (database design to React components) and have opportunities to shape technical decisions. You'll work with a team that practices empathy and values work-life balance. If you match these requirements and wish your job involved more variety and less bureaucracy, let's talk: info@fusionbox.com. 5 years of using Python pythonically 3 years of React Experience Django Experience Preferred US-Based Must be able to communicate complex technical concepts clearly and professionally in spoken English.

Victoria, Canada About SureSwift Capital SureSwift Capital is a private equity firm with a diversified digital portfolio, seeking a seasoned, front-end-leaning full-stack developer to build and modernize software across a portfolio of SaaS businesses. Our focus is transformation via AI enablement, and this role sits at the center of it: someone who thinks differently about how software gets built, leveraging AI as a core part of their workflow, not just a tool. About the Role The successful candidate will work across different web technology stacks as a true generalist, ramping quickly in unfamiliar environments and using AI to accelerate development, reduce friction, and ship high-quality features faster. They will own feature development end-to-end while maintaining the stability and performance of existing production systems. This role works closely with the cross-functional team and reports to the Portfolio Leader (or designate). The ideal candidate is a hands-on builder who is equally comfortable extending legacy production applications and shipping polished new features, with a genuine eye for how software looks and feels to the user. What You’ll Do Feature Development & Delivery Own feature development end-to-end, from UI design through backend implementation, QA, and deployment. Partner with the Portfolio Leader and business teams to prioritize and deliver features for existing applications. Build new features, fix bugs, and optimize performance across diverse tech stacks. Set and uphold a high bar for how things look and feel to the user. AI-Augmented Engineering Develop repeatable approaches and best practices for AI-assisted development. Own AI as a core part of the development workflow to accelerate delivery and reduce friction. Apply and champion AI-powered code generation and agentic tools (e.g., Claude Code, Cursor, Copilot) throughout the build process. Legacy Systems & Code Quality Take ownership of understanding and extending legacy production systems while maintaining stability and performance. Drive modernization of existing applications without disrupting customers. Establish robust test coverage, regression checks, and safe deployment workflows. What We Offer Flexible scheduling, focus on deliverables Extended health and dental benefits from day one Annual salary $140,000- $190,000 CDN We are a remote company and are filling this role in Canada. We have office space and hybrid work available for candidates located in Victoria, BC. We thank everyone for their consideration. What You Bring Required - Demonstrated experience with modern AI coding tools (especially agentic solutions like Claude Code) as a core part of the workflow. Product-First AI Mindset: Focus on business value, user experience, and applying use of development via models directly to solve practical end-user challenges. Experience modernizing and extending existing legacy production applications while maintaining stability. Proven track record of technically leading engineering workstreams, taking ownership of the development lifecycle, and mentoring junior-to-mid level developers. Proven history of delivering high-quality, maintainable software within production environments, emphasizing robust testing, rigorous security auditing, and proactive dependency management. Experience with modern frontend and backend technologies, including PHP, CodeIgniter, MySQL, JavaScript, jQuery, Bootstrap, Docker, and AWS. UI/UX design sensibility or formal design experience. Ability to communicate with executive leadership effectively on project status.

Remote, Argentina Our client is transforming the commercial real estate financing space. Backed by leading venture capital firms and financial institutions, they have built an AI-powered platform that connects brokers and borrowers with the most suitable lenders for their deals, automating the most time-consuming steps of the financing process. They are looking for a Senior Backend Python Engineer to join their engineering team and help scale their platform. Responsibilities: Write clean, scalable, and testable Python code. Maintain and improve the core Flask API and FastAPI microservices (including the AI Service and Email Service). Architect, design, and implement new features across the product roadmap. Collaborate closely with product, design, marketing, and engineering teams. Perform code reviews with teammates. Help define and document engineering best practices, testing, and CI/CD processes. Contribute to a culture of technical excellence, velocity, and collaboration. Participate in interviews and help improve the hiring process. Proven experience building Python APIs with Flask or FastAPI. Experience working in product companies or startups, ideally in fast-paced, growth-oriented environments. Strong ability to take business ideas from whiteboard to production. B.S. in Computer Science or equivalent experience. Must be based in Latin America; candidates based in Argentina are preferred. Nice to have: Experience with LLMs and building agentic AI applications. Experience with GraphQL. Experience with projects handling complex workflows. Previous experience in a high-growth company.

Hamburg, Germany ## Remote-friendly within Germany You'll join as our full-stack developer, working directly with Janek across backend systems, frontend, and data pipelines, and with Caspar on product strategy and design as features take shape. The product is live and running, and it's time to scale it, evolve it, and make it sing. This is early in the startup's journey: no hierarchies between you and the founders, fast communication instead of layers of approval, and priorities that shift quickly as the product and the market do. We communicate directly and expect the same in return, always with respect. Work when you work best, whatever hours suit you, as long as the output holds up; we care about getting things right, not about being seen at a desk. We aim to be a responsible company to work for, and the responsibility you get in return grows as the team grows. Strong Python skills with a focus on writing clean, well-structured, and consistent code Experience with Flutter, or solid frontend experience combined with a strong willingness to learn Flutter Comfortable working with large databases and complex datasets Based in Germany is a must Able to take ownership of open-ended problems: analyze the situation, evaluate different approaches, and ship the best solution. This role is about solving problems, not implementing perfectly specified requirements Interested in thinking beyond individual tasks. We're looking for someone who wants to understand the bigger picture, from our users' daily challenges to how every technical decision contributes to the product Hands-on experience with AI/ML (LLM agents, embeddings, recommendation systems, etc.) is a plus, but not required Comfortable using AI-assisted coding tools to increase productivity while maintaining a robust, sustainable codebase Enjoys working closely with a two-person founding team, with direct feedback, shared decisions, and no layers between you and what gets built Bonus: experience in startups and/or the music industry

Worldwide, Worldwide, Worldwide We are seeking a Senior Python Engineer who brings strong backend development expertise along with a solid grasp of cloud-native solutions. The right candidate will be capable of designing, building and maintaining scalable backend services through Python and modern cloud platforms. Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam Requirements Solid experience in Python backend development Familiarity with frameworks like FastAPI, Flask or Django Practical experience using AWS, Azure or GCP Proven background building REST APIs and microservices Sound knowledge of relational and/or NoSQL databases Exposure to CI/CD, testing and modern software engineering practices Excellent analytical and problem-solving abilities Nice to have Working knowledge of Docker and Kubernetes Background in serverless architectures Familiarity with data pipelines or event-driven architectures Understanding of Terraform or infrastructure as code We offer/Benefits Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Remote in the United States, Colorado, United States Position Overview: MyOme is looking for an experienced and pragmatic individual to join our integrations and portal team. This position will help enable patients and providers to order testing and understand results, bringing clarity and ease of use to complex genetics results. The successful candidate will demonstrate knowledge of healthcare data and an eagerness to build value through fast prototyping and iteration. What You'll Do: Add new features to our backend systems to support portal enhancements Support integration partners through reusable feature builds Create test data to aid in the design and development of our systems Develop new APIs Contribute to the team through code reviews and design discussions Participate in agile development processes, including sprint planning, retrospectives, and continuous improvement Balance quick wins with long-term technical sustainability Location, Compensation, and Benefits: Location: Remote in the US Compensation: Annual base salary range is $160,000 - $200,000, based on experience What You'll Need: No specific degree prerequisite. If you can do the work well and humbly, we want to talk with you. 6+ years of software development experience 2+ years of healthcare/biotech experience Experience with HIPAA compliance and healthcare software, or other privacy-focused frontends Proven track record of building and deploying production-grade web applications Experience with CI/CD pipelines Comfortable in Python/Django Comfortable with designing APIs Preferable experience in genetics

Miami Shores, FL, United States Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: Design, develop, and optimize REST and GraphQL endpoints for scalable APIs. Drive data validation, error handling, and security best practices within backend services. Plan and execute database migrations, optimizations, and schema changes as needed. Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots. Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows. Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements. Submit detailed post-burst surveys, delivering insights on model performance and developer experience. Restrictions Telecommuting is OK Agencies are OK Requirements 3+ years of professional experience as a backend developer, with strong expertise in Python. Proficient in building and maintaining RESTful and GraphQL APIs. Advanced understanding of backend data validation, error handling, and API security. Hands-on experience with database migrations, performance tuning, and schema design. Extensive use of AI tools for coding; familiarity with Cursor is highly desirable. Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting. Proven ability to thrive in fast-paced, confidential, and collaborative remote environments. Preferred Qualifications: Visible contributions to open source (e.g., GitHub stars or contributions). Experience designing or evaluating experimental tooling and developer workflows. Demonstrated enthusiasm for AI advancements in software development. About the Company micro1 matches companies with skilled, pre-vetted software developers worldwide.

Miami Shores, FL, United States Job Description We are seeking a Senior Python Engineer who brings strong backend development expertise along with a solid grasp of cloud-native solutions. The right candidate will be capable of designing, building and maintaining scalable backend services through Python and modern cloud platforms. Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam Solid experience in Python backend development Familiarity with frameworks like FastAPI, Flask or Django Practical experience using AWS, Azure or GCP Proven background building REST APIs and microservices Sound knowledge of relational and/or NoSQL databases Exposure to CI/CD, testing and modern software engineering practices Excellent analytical and problem-solving abilities Nice to have Working knowledge of Docker and Kubernetes Background in serverless architectures Familiarity with data pipelines or event-driven architectures Understanding of Terraform or infrastructure as code We offer/Benefits Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Miami Shores, FL, United States Job Description Role Overview: This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs. What does day-to-day look like: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes. Requirements: 3+ years of strong experience with Python programming language. Industry experience and knowledge of code quality, formatting, and best practices of software development Experience with Python’s testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Python. Ability to work with architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Fluent in conversational and written English communication skills

Anywhere, Anywhere, USA The Role You'd be joining a lean, high-leverage engineering team tackling the complexity of legal software — not by pushing longer hours, but by getting genuinely good at working alongside AI. This isn't a "we occasionally use ChatGPT" team. The group is actively figuring out how to hand repetitive engineering work to AI so people can spend their time on the problems that actually need human judgment. If you like tight feedback loops and think of AI as a real engineering collaborator rather than a novelty, this is that kind of team. Compensation, Benefits & Culture Founded by two repeat entrepreneurs who set out to build a company without the usual startup burnout culture — their previous venture picked up multiple workplace-quality awards. The team protects: A sustainable pace Long stretches of uninterrupted deep work A light meeting calendar Comp: USD $135,000 - $185,000 DOE, equity grant appropriate to the role, standard ~40-hour week. Benefits: Fully remote — work from anywhere Medical, dental, and vision for you and your family Annual stipends toward learning/development and personal wellness Retirement plan with an employer contribution regardless of what you personally contribute Flexible PTO (vacation, sick time, holidays) Paid parental leave for either parent What You'll Do Help push the engineering org toward an AI-native way of building software Keep improving internal dev workflows — using AI to ship faster, automate regression coverage, and hold the line on code quality Design, build, ship, and support full-stack systems end to end Work cross-functionally to deliver complete solutions spanning AI, modern web tooling, data stores, and backend platforms Write code that's scalable, reusable, and easy for the next person to maintain Make sure what you ship works well across browser and mobile Build automated test coverage into new work as you go, not after Take part in the on-call rotation Partner with architects and peers on system design, dependency choices, and long-term maintainability Split time between new feature work and keeping existing systems healthy Communicate clearly with non-engineering stakeholders Mentor more junior engineers and help set technical direction What We're Looking For 7+ years of professional, commercial software development — shipping, deploying, maintaining, and debugging real production systems — plus: A track record of actually improving how a team ships software using modern AI tooling (not just personal productivity hacks) Hands-on experience with AI coding agents (e.g., tools like Claude Code, Codex, or similar) as part of your regular workflow Experience pointing AI tooling at large-scale refactors, modularization, and code analysis Solid Python / Django experience Solid React experience GraphQL experience (Apollo Client and/or Relay) Comfort writing real unit test coverage Nice to Have AWS, Docker, Terraform MongoDB, PostgreSQL Git Experience with third-party integrations — things like O365, DocuSign, generic REST APIs, Salesforce, SAML 2.0, or Zapier Exposure to monitoring/alerting tooling Who Does Well Here Sharp analytical and problem-solving instincts Real curiosity about LLMs and AI-assisted engineering — not just tolerance for it Comfortable with shifting priorities and some ambiguity Cares about the end-user experience, not just the code Self-directed, high agency, high accountability Takes pride in the craft and welcomes feedback Communicates and documents clearly Genuinely curious, always picking up new tools Operates with integrity and sound judgment

Hyderabad, Telangana, India We are hiring a Python Backend Engineer to take ownership of high-throughput backend services. You will work alongside our front-end and C# application teams to build the infrastructure that ingests, processes, and routes real-time data streams across our platforms. This role is for someone who enjoys asynchronous Python, complex data-flow problems, and the discipline of building production systems that need to run reliably under sustained load. Experience: 4+ years of professional backend software engineering experience, primarily in Python. Asynchronous Python: Strong working knowledge of asyncio and concurrent programming patterns for high-throughput I/O. API Frameworks: Production experience with FastAPI (or comparable async frameworks such as Starlette, aiohttp, or Sanic) and pydantic-based schema validation. Message Brokers: Hands-on experience with at least one event streaming or message broker platform — Apache Kafka, RabbitMQ, NATS, or equivalent. Databases: Proficient with PostgreSQL and capable of writing optimized SQL; comfortable with schema design, indexing, and query profiling. Time-Series Data: Working familiarity with time-series databases (e.g., TimescaleDB, InfluxDB, QuestDB) and the trade-offs of heavy-write workloads. Networking: Solid grasp of TCP/UDP, WebSockets, and HTTP/REST; able to debug at the protocol level when needed. Platform & Tooling: Comfortable Git-based workflows. Testing & Quality: Demonstrated practice with pytest, unit and integration testing, and CI pipelines.

Panama City Beach, Florida, United States Join Softech Associate to build and ship real software for our clients. We are looking for engineers with strong fundamentals and excellent communication who want to grow on a remote-first team. What we're looking for Strong foundational knowledge of computer science and software engineering Comfort with data structures, algorithms, system design, and clean coding principles Ability to explain technical concepts clearly and logically Advanced-level English communication skills Confidence and clarity when reasoning through technical problems Responsibilities Build and maintain real client projects across the stack Participate in system design discussions and coding tasks Collaborate in mock interviews and technical discussions to grow as a team Communicate progress and trade-offs clearly with the team and clients Write clean, tested, maintainable code Preferred technical background Frontend React · Next.js · TypeScript · JavaScript Backend Node.js · Python · FastAPI · Flask · Express Databases PostgreSQL · MongoDB · MySQL Cloud AWS · Azure · GCP Experience with AI tools, LLMs, or modern developer platforms is a plus.

Remote, Remote/Worldwide, Remote/Worldwide Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw We are bootstrapped, $2.2M+ ARR, a team of 5, and remote since day one. What we are doing: building self-improving loops and agentic products. Agentic products you will work on: SDR agent (Sales Navigator agent, emailing outreach agent) Self-improving loops you will build: Coding Support SEO & content Analytics Company-wide systems (memory, tooling) You will work directly with the co-founder & CEO. What is guaranteed: an intense execution pace and an exponential learning curve. A zero-nonsense environment, focused mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Compensation: $70,000 - 120,000 USD. Full-time, 100% remote. Strong Python engineering Power user of agentic coding Bonus points: AWS Agentic plumbing & observability

Katy, TX, United States Backend Software Engineer (API-focused) Katy, Texas (full-time onsite) Compensation: $110,000 - $120,000 annually Reports to: Software Engineering Manager Visa Sponsorship: Not Available Would you like to be a key member of the development team supporting hundreds of law enforcement agencies across the United States? Are you driven to produce high quality software that makes an impact to our society? Off Duty Management is the leading provider of off duty program solutions to law enforcement agencies and first responders across the United States. We provide the best possible service, protection, and administrative support to the sworn officers of our valued partner agencies. We're building OfficerTRAK, a SaaS platform that our customers depend on, and the API layer is the backbone connecting our Angular web front end, native iOS and Android apps, and internal services. We're looking for a mid-level Backend Software Engineer to help design, build, and maintain the FastAPI microservices that power our product. You’ll work across the full lifecycle of a service — from schema and endpoint design, through implementation and testing, to deployment and monitoring in production on AKS. You'll write asynchronous background jobs with Celery, design and optimize PostgreSQL schemas and queries, and build in the authentication, authorization, and security practices our platform depends on. This role suits someone who has shipped production-grade FastAPI services before, cares about test coverage and code quality, and wants real ownership over how our APIs are designed, secured, and scaled. This position is based onsite in our Katy, Texas headquarters. Responsibilities Design and build production-grade FastAPI services — define clean, versioned RESTful API contracts, request/response schemas (Pydantic), and service boundaries within our microservice architecture. Own data modeling and query design — design normalized, performant PostgreSQL schemas, write and optimize SQL queries, and manage migrations (e.g., Alembic) as services evolve. Build reliable asynchronous workflows — design and maintain Celery tasks and queues for background processing, retries, and scheduled jobs. Ship and operate services on our Azure/Kubernetes platform — containerize services, deploy to AKS, and troubleshoot issues in a live production environment. Build in authentication, authorization, and security from the start — implement OAuth2/JWT-based auth, role-based access control, and follow API security best practices (OWASP API Top 10, input validation, secrets management). Write meaningful, layered test coverage — unit, integration, and functional/end-to-end tests (pytest) that give the team confidence to ship quickly. Participate in code reviews and design discussions — give and receive thoughtful feedback and help shape API and data model decisions across the team. Instrument services for observability — add logging, metrics, and tracing so issues can be diagnosed quickly in production. Collaborate cross-functionally — partner with frontend, mobile, and DevOps engineers to define API contracts and keep services aligned with product needs. Contribute to CI/CD pipelines — help maintain automated build, test, and deployment workflows for the services you own. ***Immigration-related benefits (for example, visa sponsorship) are not available for this position. Off Duty Management is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. This Organization Participates in E-Verify. Required Skills and Qualifications 3+ years of professional backend software development experience, including production use of Python. Strong hands-on experience with FastAPI building production APIs. Solid understanding of relational database design, normalization, and SQL query optimization (PostgreSQL preferred). Experience with Celery or a comparable distributed task queue (e.g., RQ, Kafka consumers) for asynchronous processing. Experience deploying and operating services in Kubernetes, ideally on Azure (AKS). Practical experience writing unit, integration, and functional tests (pytest or similar) as part of the regular development workflow. Working knowledge of authentication and authorization standards (OAuth2, JWT, API keys, RBAC). Understanding of API security best practices (OWASP API Top 10, input sanitization, secrets management, rate limiting). Comfort with Git-based collaborative workflows (pull requests, code review, branching strategies). Familiarity with containerization (Docker) and CI/CD pipelines. Clear communication and a collaborative, ownership-driven approach to working with engineers. Preferred Skills and Qualifications Experience with Azure-specific services (Azure Key Vault, Azure Container Registry, Azure Monitor / App Insights). Familiarity with API documentation tooling (OpenAPI/Swagger). Experience with message brokers supporting Celery (Redis, RabbitMQ). Experience with database migration tooling (e.g., Alembic). Exposure to observability stacks (Prometheus, Grafana, OpenTelemetry) and distributed tracing. Exposure to Infrastructure as Code (Terraform, Helm). Understanding of domain-driven design or broader microservice architecture patterns. Experience scaling APIs for a growing SaaS platform.

Poland, Lviv, Ivano-Frankivsk, Ternopil, Uzhhorod, Chernivtsi or Kyiv, Ukraine/Poland ABOUT PROJECT Our client is one of the leading financial services companies in the USA. The project focuses on developing a large-scale platform for financial data management, enabling secure storage, processing, and delivery of business-critical financial data. Offices to Apply in - Poland Ternopil Ivano-Frankivsk Lviv Kyiv Ukraine Krakow Chicago Las Vegas Argentina Croatia Uzhhorod Chernivtsi Zhytomyr Rivne Lutsk REQUIREMENTS 4+ years of commercial experience with Python Strong experience with Flask Experience building RESTful APIs and web services Experience with Java is a plus Experience with Snowflake or Snowpark is a plus Upper-Intermediate English or higher RESPONSIBILITIES Develop, test, and maintain reliable Python backend services and applications Design and implement new features in collaboration with cross-functional teams Build and integrate RESTful APIs using Flask Write clean, maintainable, and well-tested code Troubleshoot performance issues and resolve defects across development and production environments Participate in code reviews and contribute to engineering best practices Support application deployment, monitoring, and ongoing production maintenance Continuously improve the codebase, development processes, and technical solutions WHAT YOU WILL GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with low level of bureaucracy

Vilnius / Kaunas / Warsaw, Lithuania/Poland DevOps Engineer Threat Protection Full-time Hybrid Vilnius / Kaunas / Warsaw Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Salary Range (Gross) €3.6K – €5.8K per month Main Responsibilities Collaborate with the Threat Protection development team to build and automate infrastructure for the product Write scripts to expand and maintain automated Code delivery and Release pipelines using Docker, Gitlab CI, AWS Help build frameworks for automated unit/integration/E2E tests, as well as setting up various virtual test environments/services Design and manage infrastructure for a multi-tenant distributed environment Assist with service migration to and within cloud environments (S3, EC2, EMR, Kubernetes) Ensure the application of best practices including but not limited to security, availability, and observability of the infrastructure. Core Requirements Experience as a DevOps, System or Infrastructure Engineer or a similar engineering role Proficiency with Linux systems and tools; knowledge of Windows administration strongly appreciated Working knowledge of Git and Git workflows Experience with scripting languages (e.g. Shell, Bash, Python, etc.) Experience implementing CI/CD principles, understanding of build systems and tooling (preferably Make, CMake, Conan, Ninja) Understanding of software composition principles: compilation, linking, loading of binaries and dependency management in major operating systems Knowledge of virtualization and containerization principles Experience working with cloud technologies and tooling: Configuration as code (Ansible, Terraform), Dockerization, EKS/Kubernetes Ownership mindset around your work and a desire for understanding of how systems interact including those outside your immediate area of expertise Critical thinking with a high degree of professionalism, flexibility, and attention to detail. What We Offer Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world.

Remote, Remote, Worldwide Evaboot | Agentic Python Engineer | REMOTE | Full-time | $70-120K USD Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw Bootstrapped, $2.2M+ ARR, team of 5, remote since day one. What we're doing: building self-improving loops and agentic products. Agentic products you'll work on: SDR agent (sales navigator agent, emailing outreach agent). Self-improving loops you'll build: coding, support, SEO & content, analytics, and company-wide systems (memory, tooling). You will work directly with me (co-founder & CEO). Requirements: strong Python engineering, power user of agentic coding. Bonus points: AWS, agentic plumbing & observability. What's guaranteed: intense execution pace & exponential learning curve. Zero bullshit environment, we focus mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Apply right here: https://forms.gle/NM9BLJyuS8FNitYc8 Requirements: strong Python engineering, power user of agentic coding.

Remote (within 2 hours of London timezone), Remote Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. What We're Looking For Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to Have Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects.

Remote, Remote/Worldwide, Remote/Worldwide, Remote Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw We are bootstrapped, $2.2M+ ARR, a team of 5, and remote since day one. What we are doing: building self-improving loops and agentic products. Agentic products you will work on: SDR agent (Sales Navigator agent, emailing outreach agent) Self-improving loops you will build: Coding Support SEO & content Analytics Company-wide systems (memory, tooling) You will work directly with the co-founder & CEO. What is guaranteed: an intense execution pace and an exponential learning curve. A zero-nonsense environment, focused mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Compensation: $70,000 - 120,000 USD. Full-time, 100% remote. Strong Python engineering Power user of agentic coding Bonus points: AWS Agentic plumbing & observability

Remote, United States of America We are looking for a part-time software engineer to help implement a proof of concept for an experimental decentralized, censorship-resistant networking protocol. The network architecture and protocol design are already substantially defined. Your job will be to translate that design into a working Python implementation, make implementation-level engineering decisions, and help identify problems that emerge during testing. The objective is a functional proof of concept, not a production-ready implementation. The work primarily involves Python, peer-to-peer networking, asynchronous/concurrent programming, and applied cryptography. Experience implementing network protocols, peer-to-peer systems, or distributed systems is a plus but not required. This is not a cryptocurrency, NFT, or Web3 project. Approximately 20 hours per week at $20 USD/hour. The initial proof-of-concept effort is expected to last approximately four months. Strong Python programming skills. Good understanding of networking and network protocols. Familiarity with asynchronous or concurrent programming. Working knowledge of applied cryptography and standard cryptographic primitives. Ability to independently reason through, implement, and debug systems. Use of generative AI or AI coding assistants for project work is not permitted.

Birmingham, United Kingdom We’re looking for a Django Developer to join our team and strengthen our support and delivery capacity across a growing portfolio of partner work. For this particular role we’re looking for someone with strong Django experience, and knowledge of Wagtail would be ideal too. You’ll be joining our Partner Success team as a technical contributor, responsible for maintaining and delivering solutions that support our SLA (Service Level Agreement) and retainer-based partners. This role combines hands-on development work with a strong focus on reliability, responsiveness, and technical partnership - prioritising uptime, speed of resolution, and consistent delivery for our partners. We’re looking for intelligent people with an eagerness to learn new things. As well as technical knowledge, we need someone who gets it - someone who is a natural problem solver, knows when to ask for support, and can turn messy incoming requests into calm, practical solutions. We’re not just code machines - we’re humans, so we need developers who collaborate, support, and work together to help the whole team succeed. This role suits someone who can combine solid backend development with technical leadership in process: helping a team deliver well without needing to formally manage it. We have a lot of clients / partners, and a lot of codebases. You won’t be working on the same project for months, but need to be confident about context switching, making sensible technical decisions, and working across multiple streams of work. The Role involves: Working with Python, Django, and Wagtail (our favourite CMS framework) Picking up and delivering backend development work across a range of partner projects and retainers with SLAs in place Sprint management - ensuring that sprint goals are met Supporting issue triage - helping to assess incoming requests, and picking up quick fixes to keep our partners happy Improving team processes around deployment, environments, release visibility, and technical handover Interacting with the partners we work with to help scope, plan, and sometimes directly respond to technical work Collaboratively working with project managers, designers, and other developers to deliver successful work as a team Reviewing other developers’ code to promote best practices and encourage co-operative learning Being able to adapt and integrate new technologies quickly, using new APIs and technologies as needed Taking non-technical requests and designing solutions which result in logical data structures, smooth user experiences, well tested code, and long-term code-base health We are looking for someone who… Has strong professional experience with Python and Django Enjoys working across multiple projects and codebases Can confidently work in existing systems, improve them, and make sensible technical decisions Is comfortable being a senior technical presence within a team, without needing formal line management responsibility Can help others learn through pairing, reviewing, explaining, and unblocking Is organised and comfortable with context switching Can communicate clearly with both technical and non-technical people Seeks working in an agency environment (albeit a not-for-profit one!) Enjoys the Zen of Python and ‘Pythonic’ code Is energised by working on projects for charities and non-profits Can balance the perfectionists-with-deadlines mantra of Django for the resource constrained third-sector Is big hearted and keen to make the world a better place Knows the importance of sharing skills and learning The following would be a bonus... Knowledge of Wagtail CMS Confidence with deployment workflows, release processes, and environment management DevOps awareness and confidence working close to infrastructure, even if not a full-time DevOps specialist Some front-end confidence, enough to handle simpler changes where useful Experience supporting or maintaining long-running partner relationships through ongoing technical work Experience with React Native or willingness to learn enough to support adjacent app work

Remote, Worlwide, Worldwide We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This role is designed for experienced ML engineers and researchers who understand the systems beneath high-level APIs. Candidates should have meaningful practical experience with multiple tools from the modern ML stack and be able to explain what they personally built, optimized, or operated. What You’ll Work On Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation. A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, * Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning. Practical proficiency with Python. Meaningful experience with at least two relevant ML frameworks, libraries, or inference tools. Strong understanding of model training, evaluation, numerical computation, or inference. Ability to debug ML systems beyond surface-level API usage. Ability to explain implementation decisions, performance trade-offs, and failure modes clearly. Experience building reproducible technical workflows. Relevant tools may include: PyTorch JAX NumPy and SciPy SGLang vLLM llama.cpp Hugging Face Transformers Hugging Face Tokenizers Equivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Remote, Remote, Worldwide Gridnaut Recruiting is hiring a remote Software Engineer, Full Stack for a flexible hourly contractor engagement supporting a leading AI lab. This is a Python-forward full-stack role: Python is explicitly named as a core language for the position, alongside Java, Rust, C#, and C++. You will contribute to model-training support, evaluation, and structured task review while working across backend services, frontend (React), databases, and cloud systems. Work is fully remote, hourly, and flexible. Pay is $50–$65 per hour (USD), depending on experience and demonstrated skill. 3+ years of production software experience at a top-tier company Proficiency in Python; experience with Java, Rust, C#, or C++ is also relevant Working proficiency in a second listed language Full-stack experience including backend, frontend (React), databases, and cloud Availability for the engagement's required schedule, up to 40 hours per week Remote availability for an hourly contractor engagement

Remote (UK / EU), Remote (UK / EU), Remote (UK / EU) We're hiring a Senior Staff Engineer to lead a new three-person squad building product categories that don't exist at tem yet: deep integration into Rosso, pricing capability, and deal-risk tooling. This is a hands-on individual-contributor role, not people management. You design, build, and review the hardest parts of the system yourself, in Python, alongside the squad. The stack is production-grade Python throughout: services built on AWS Lambda and API Gateway, state and events handled with DynamoDB and EventBridge, all wired together as event-driven architecture. You will write Python daily, both for new product integrations and for the pricing and risk logic that sits behind them. Compensation: GBP 117,850 (or local equivalent) plus equity. Benefits include 25 days holiday plus your birthday off, a remote/wellbeing budget, and fully remote working with no internal meetings on Friday afternoons. Apply: https://jobs.ashbyhq.com/tem?utm_source=PythonOrg Requirements: Proven technical leadership at Staff or Senior Staff level, with evidence of leading ambiguous initiatives to real business impact Comfortable operating without a spec, shaping an undefined opportunity into something buildable Production experience with Python at scale, and fluency with AWS serverless services (Lambda, API Gateway, DynamoDB, EventBridge) Sound commercial judgement: able to reason about deal risk and revenue impact, not just delivery Track record leading a squad through technical direction and mentorship, without formal people-management responsibility Strong written and verbal communication with commercial stakeholders Bonus points: Experience in energy, fintech, or another regulated, high-stakes commercial domain Experience taking a product or company into a new international market Exposure to workflow orchestration or real-time pricing engines

REMOTE, REMOTE As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code. Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data? Very proficient with Linux at the terminal level Test-driven development (TDD) and pytest proficiency 7+ years Python experience Polars experience PostgreSQL expertise: schema design, optimization, advanced queries Familiarity with, and adherence to, PEP guidelines and Python coding standards RESTful API development and design best practices Scalable architecture design for high-volume data environments Security practices and vulnerability prevention Bug identification and resolution with local testing Thoughtful development centered around performance, deeply optimized code, and proper code organization Git version control with branching strategies English fluency (written/verbal) Cover letter requirement with specific opening line Previous experience working for a US-based company. Nice to have Experience with AWS (devops). Who we are NOT looking for Agencies People who are looking for a side “hustle” or are starting their own business Anyone with less than 7 years of experience If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 7+ YEARS OF EXPERIENCE in all CAPS To be considered please fill out this form: https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y

Tallinn, Harju County, Estonia Location: USA & LATAM | Remote Employment Type: Contractor, Full-time What You’ll Do: Design, develop, and maintain backend services and RESTful APIs using Python, Flask, or FastAPI Build clean, maintainable, and scalable solutions following Python best practices and PEP8 Work with SQL databases, particularly PostgreSQL Develop unit and integration tests using Pytest Create and maintain API documentation using Swagger/OpenAPI, Insomnia, or similar tools Integrate Large Language Models (LLMs) and AI-powered functionality into backend applications Work with Git-based development workflows and participate in code reviews Debug, troubleshoot, and improve existing backend systems Contribute to CI/CD processes and development automation Collaborate with engineers and other team members in an Agile environment Communicate effectively with an international team in English What We Offer: Paid vacation and sick leave Equipment for comfortable work, if required 50% coverage of professional courses Competitive compensation based on your skills and experience Reliable and always-on-time payments A supportive international team Straightforward processes without unnecessary bureaucracy 100% remote, full-time cooperation What We’re Looking For: 2–3+ years of commercial Python development experience Strong knowledge of Python fundamentals Hands-on experience with Flask and/or FastAPI Experience developing and integrating REST APIs Practical experience with SQL databases; PostgreSQL is preferred Experience with unit and integration testing Familiarity with Docker Confident use of Git and Git-based development workflows Familiarity with code-quality tools such as PyLint, Flake8, or similar Experience or strong practical interest in integrating LLMs into backend applications Ability to work in Linux and/or Windows environments English level B2 or higher Strong problem-solving skills, attention to detail, and a proactive approach Ability to work independently and effectively within a distributed team Based in the USA or LATAM Nice to Have Experience with CI/CD pipelines, such as Jenkins or GitLab CI Experience with cloud platforms Familiarity with Kubernetes Experience with Jira, Crucible, or similar collaboration tools Previous hands-on experience integrating LLM APIs or AI-powered features

Remote, United States 3GIMBALS is seeking a Full-Stack Software Engineer with a strong front-end focus to help design, build, and deliver capabilities for OMEN™, our multi-domain data fusion and analytics platform. This role is ideal for an engineer with strong front-end development experience who is also comfortable working across the full application stack. The Full-Stack Software Engineer will build responsive, intuitive user experiences using TypeScript and React, develop and integrate backend services and APIs using Python and FastAPI, and take features from initial design through deployment and operation in AWS. The position works closely with developers, analysts, and subject matter experts to translate complex mission and user requirements into practical software capabilities. As part of a small, multidisciplinary team, this role provides meaningful ownership of the features developed and the opportunity to influence both the user experience and technical direction of the platform. Key Responsibilities Design, develop, and maintain responsive, user-facing applications using TypeScript and React. Translate complex workflows, data, and analytic capabilities into intuitive and effective user experiences. Design, build, and maintain RESTful APIs and backend services using Python and FastAPI. Integrate front-end applications with backend APIs, data services, and other OMEN platform capabilities. Own software features throughout the development lifecycle, from requirements and technical design through implementation, testing, deployment, and sustainment. Design and manage database schema changes and migrations using Alembic. Build and maintain GitLab CI/CD pipelines to automate testing and application deployment. Deploy, monitor, troubleshoot, and scale applications in AWS environments. Write clean, maintainable, well-tested, and documented code. Participate in code reviews, architecture and design discussions, and technical planning. Collaborate with developers, analysts, subject matter experts, and other stakeholders to understand user needs and deliver effective solutions. Contribute to engineering standards, development practices, and continuous improvement across the OMEN team. 3–5 years of professional software engineering experience developing production applications. Strong proficiency in Python. US Citizenship Professional experience developing modern front-end applications using TypeScript and React. Hands-on experience developing APIs and backend services using FastAPI. Experience managing database schema migrations using Alembic. Experience using GitLab for source control and CI/CD pipelines. Experience deploying and operating applications in AWS. Solid understanding of software design principles, testing, debugging, and application performance. Demonstrated ability to develop and deliver features across both the front end and backend of an application. Strong written and verbal communication skills and the ability to collaborate effectively within a multidisciplinary team.

Remote, Worldwide HFT Architecture builds short-horizon price prediction and the trading system around it. This role works on the pipeline that turns order-book records into validated models, next to more experienced engineers: data preparation, experiments end to end, and the checks that keep the future out of a training set. Fully remote, from anywhere in the world. Junior. Base salary: USD 125,000–155,000 a year. To apply: a link to your résumé, LinkedIn or GitHub, and one sentence on any of our articles. No file, no cover letter. Apply: https://hftarchitecture.com/careers/junior-machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10 You write Python every day, with tests; can explain the machine learning basics, including why ordinary cross-validation breaks on time series; and have one project of your own you can show and talk through.

Remote, Worldwide HFT Architecture builds short-horizon price prediction and the trading system around it. This role builds the pipeline from raw order-book records to a fitted, validated model: data preparation, features, training and out-of-sample measurement, reproducible run to run, with leakage controls built in. Fully remote, from anywhere in the world. Middle+ to senior. Base salary: USD 180,000–240,000 a year. To apply: a link to your résumé, LinkedIn or GitHub, and an answer to one question about our article "Why Your Market Maker Loses Money". No file, no cover letter. Apply: https://hftarchitecture.com/careers/machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10 You have built and run machine learning systems yourself, write Python with tests and versioned data, handle time series without leakage, and work with tens of millions of rows a day on ordinary hardware.