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.