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.

Rowlett, TX, United States About the Role We are seeking a Senior Software Engineer with strong Python development skills, React experience, and practical experience integrating AI capabilities into software applications. You will contribute across the application stack, building backend services with Django and Flask, developing React interfaces, and designing reliable PostgreSQL databases. You should also have hands-on experience with AI integrations or AI agents that interact with tools, APIs, or application data. What You’ll Do Design, build, and maintain Python applications and backend services using Django and Flask. Develop responsive React interfaces and connect them to backend APIs. Design PostgreSQL schemas, manage migrations, and improve query performance. Integrate AI models and services into application features and business workflows. Build or extend AI agents that use tools, external APIs, and application data. Improve application reliability, security, performance, and error handling. Write automated tests, review code, and maintain clear technical documentation. Participate in architecture decisions, mentor other engineers, and collaborate with product and engineering stakeholders. Required Qualifications 8–15 years of professional software engineering experience. Strong Python programming skills and hands-on experience with Django and Flask. Experience building frontend applications with React and JavaScript or TypeScript. Strong PostgreSQL and SQL skills, including database design, indexing, and query optimization. Practical experience integrating AI services or developing AI agents. Experience designing and consuming REST APIs and integrating third-party services. Understanding of authentication, authorization, testing, and secure development practices. Ability to own features from technical design through production support. Clear communication skills and the ability to explain technical decisions. Must be physically located in the United States and authorized to work without employer sponsorship. Preferred Qualifications Experience with LLM APIs, tool calling, retrieval-augmented generation, or agent orchestration. Experience evaluating AI output quality and managing latency, cost, and failure cases. Familiarity with cloud platforms, Docker, CI/CD, and production monitoring.

Barcelona, Spain Senior Python Engineer, Billing & Accounts Manychat builds AI-powered automations that help creators and brands engage with their audiences on Instagram, Messenger, WhatsApp and TikTok. We are 400+ people across three continents behind the leading platform for conversational growth. As a Senior Python Engineer you will create the Python foundation for Manychat's Billing: payments, payment provider integrations, anti-fraud and local regulatory compliance, all tied to the pricing model every feature depends on. There is no roadmap yet, so you will design systems end to end, make the architectural decisions and experiment with what works best. Two mid-level engineers will join after you, and you will help them grow. What you will do Design and build Billing's Python foundation, where product features and the existing PHP backend work together. Build async Python services for payments, payment provider integrations, invoicing, anti-fraud and regulatory compliance. Design and integrate internal and third-party APIs with clear, stable contracts. Build for failure: retries, idempotency, consistency and observability, so every payment is handled correctly. Set the testing, CI/CD and rollout practices this layer runs on. Mentor and set the technical bar for two mid-level engineers. Work with cross-functional partners so your technical decisions fit how the business runs. What we offer Hybrid onboarding (start remotely) and relocation support for you and your family Comprehensive health insurance for you and your family Professional development budget for conferences, courses and learning resources Flexible benefits package tailored to your priorities Hybrid work and generous leave options In-office perks, including free meals and snacks Company-funded sports activities, annual offsites and team-building events Manychat is an Equal Opportunity Employer. If you need an accommodation during the interview process, please indicate this in your application. You need 6+ years of commercial Python development in production, with Python as your primary language and recent hands-on work Strong expertise in modern Python frameworks (FastAPI preferred; Django or Flask are fine) Solid experience designing and integrating APIs, including third-party services Strong understanding of async programming and concurrency (AsyncIO, non-blocking I/O) Experience with PostgreSQL and large datasets Experience building and maintaining backend systems under production load Strong testing practices (unit and integration tests; PyTest preferred), CI/CD pipelines and Docker Strong engineering judgment: you design systems end to end and make architectural decisions on your own Mentoring or leadership experience of any kind Experience working in cross-functional teams, with clear communication Nice to have Experience with billing, invoicing or payment systems Experience with PHP A product mindset and scale-up experience Experience with queues, NoSQL or analytical systems Deep database experience, such as replication, partitioning, sharding or PL/pgSQL Hands-on experience with AI tools in your engineering work

London, UK We're looking for an AI Engineer to design, build, and ship AI-powered features for our clients' Python web applications. You'll take LLM and machine learning ideas from prototype to production, adding AI search, intelligent agents, and automation to Django and FastAPI products. You'll work closely with our senior Python engineers and with client teams. Key responsibilities: - Design and build LLM-powered features such as retrieval-augmented generation (RAG), semantic search, chat assistants, and AI agents - Integrate LLM APIs (e.g. OpenAI, Anthropic, Gemini) and open-source models into Django and FastAPI services - Build and maintain data pipelines for document ingestion, chunking, embeddings, and vector search - Engineer prompts, tool and function calling, and multi-step agent workflows - Set up evaluation, testing, and monitoring for AI features, covering quality, latency, cost, and safety - Optimise performance and cost through caching, model selection, and batching - Make sure AI features are secure, privacy-conscious, and compliant with UK GDPR - Work with clients in discovery sprints to find practical, high-value AI use cases - Keep up with the fast-moving AI ecosystem and share knowledge across the team 3+ years of professional Python development experience, including at least 1 year building LLM or ML features used in production Hands-on experience with LLM APIs and frameworks (e.g. OpenAI/Anthropic SDKs, LangChain, LlamaIndex, or similar) Solid understanding of RAG architectures, embeddings, and vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar) Experience building APIs with FastAPI or Django; async Python is a plus Strong PostgreSQL skills; pgvector experience is a plus Familiarity with prompt engineering, tool/function calling, and agent design patterns Experience evaluating and monitoring LLM output (eval frameworks, tracing, observability tools) Working knowledge of Docker, cloud platforms (AWS, GCP, or Azure), and CI/CD Good testing discipline with pytest Understanding of AI safety, data privacy, and responsible AI practices Clear communication skills and the ability to explain AI trade-offs to non-technical clients Nice to have: experience with ML fundamentals (PyTorch, Hugging Face, fine-tuning), Wagtail, or open-source contributions Degree in Computer Science, AI/ML, or a related field, or equivalent practical experience

London, UK We're looking for a Senior Python Engineer to design, build, and scale the backend systems that power our products. You'll own services end to end — from architecture and API design through to deployment and monitoring — and work closely with product, data, and DevOps teams. Key responsibilities: - Design, develop, and maintain scalable, high-performance backend services and APIs in Python - Lead technical design discussions and make sound architectural decisions - Write clean, well-tested, maintainable code and champion engineering best practices - Review code and mentor junior and mid-level engineers - Optimise application performance, reliability, and security - Collaborate with cross-functional teams to translate requirements into technical solutions - Contribute to CI/CD pipelines, observability, and production support - Stay current with the Python ecosystem and help evolve our tech stack 5+ years of professional software development experience, with strong expertise in Python Solid experience with at least one major web framework (Django, FastAPI, or Flask) Strong understanding of RESTful API design; GraphQL experience is a plus Proficiency with relational databases (PostgreSQL/MySQL) and ORMs; NoSQL experience (Redis, MongoDB) is a plus Experience with asynchronous programming (asyncio) and task queues (Celery, RQ, or similar) Hands-on experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes Strong testing discipline (pytest, unit/integration testing, TDD) Familiarity with CI/CD, Git workflows, and monitoring/logging tools Good knowledge of software design patterns, system design, and security best practices Excellent communication skills and experience mentoring other engineers Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Remote, None, Global We're looking for experienced software engineers to build AI coding tasks from a codebase they know well. US$1,000 per task, and you can do as many tasks as you want. You turn a real change from a repository you know into a task that today's best AI coding models struggle with: hard for the models, but fair for a skilled engineer. Your tasks are used to measure and train AI coding models. Remote, any location. US$1,000 per task that passes review. Minimum of one task a week, about 10 hours a week. How it works Apply. Complete a short screener interview and upload your resume. Propose. Once you're selected, pick a change from a repository you know and submit a short proposal. We approve it or suggest a better candidate. Build. In our platform, set up the repository as it was before the change, then write the brief, the correct solution and the grading checks. Stress-test. Try lazy, incorrect and shortcut solutions and make sure your checks catch them. Model testing. Run your task against leading AI models until strong models often fail but a skilled engineer can clearly solve it. Review. A reviewer checks your task and you revise it. Most tasks take more than one round. Next task. Once your task is accepted, start another. Requirements 2+ years of professional software engineering Code merged into a public open-source repository, ideally one you know well. A private codebase you own may also qualify (not employer or client code) Strong in at least one of Python, TypeScript, Go, Rust, Java or C++ Solid with Docker, Linux, Git and automated testing Regular use of an AI coding tool Experience writing tests, rubrics or evaluation criteria, ideally for AI models You can explain a change clearly and concisely, in your own words At least 10 hours a week, starting now A secure personal or work computer (no public or shared machines) Nice to have Deep expertise in one area, such as databases, compilers, distributed systems, security or infrastructure Experience building agent tasks or RL environments Terms US$1,000 for each task that passes our quality review, paid directly to you Once your proposal is qualified, you sign Askable's contract and accept its terms The work is used for AI training. The change and your solution must be your own, and you must be free to license them to us Don't publish the work anywhere: no public pull request or public fork