Top Python Jobs

Designs and operates production-grade Python services, APIs, distributed systems, and cloud-native applications for enterprise machine learning platforms. The role uses AWS, infrastructure as code, observability tools, automated testing, CI/CD, and secure deployment practices. Responsibilities include architectural guidance, code reviews, mentoring, production support, resiliency engineering, and collaboration with product, platform, and site reliability teams. The engineer also helps adopt AI-assisted development practices and may build solutions using generative AI and large language models.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Develop and refactor Python applications supporting NASA airspace management, simulation, and data systems. Integrate visualization and AI/ML platforms, build microservices and REST APIs, support cloud and edge deployments, and maintain CI/CD automation. Collaborate through GitHub using Agile practices, automated testing, quality assurance, documentation, and code reviews. Work may support Advanced Air Mobility and Air Traffic Management/Safety projects.

Senior Python engineer responsible for designing, building, and operating high-performance, scalable distributed services for Quantitative Investment Strategies. Work includes architecture, coding, testing, CI/CD, performance optimization, incident analysis, and close collaboration with front office, quants, trading, and risk. Mentor junior engineers and lead platform modernization efforts.

Develop consumer-facing APIs, web components, and websites using Python and modern frontend technologies. Collaborate with iOS and machine learning engineers, monitor production performance, troubleshoot issues, write automated tests, contribute to architecture decisions, and prioritize work with engineering and product teams in an agile environment.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Develop and modernize shared Python/Django applications, libraries, APIs, runtimes, and infrastructure. Lead lifecycle upgrades, secure authentication and database integrations, AWS deployments, application security improvements, testing, documentation, production troubleshooting, and technical mentoring across multiple application teams.

Develop and expand Vitol’s Python and agentic development tools, support the developer community, maintain shared Python packages, and advise teams on technical challenges. Responsibilities include application support, training, onboarding, stakeholder collaboration, and improving systems with Helpdesk, Infrastructure, and Security teams. The role also supports migration from Miniconda to Astral uv and promotes software development standards.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Senior Python quantitative developer responsible for implementing ALM models, integrating pricing and risk analytics, optimizing performance, and delivering high-quality software for the Juniper Vasara risk platform. Collaborates with quant, business, and technology stakeholders in an Agile SDLC to support portfolio management, balance sheet strategy, and capital/risk calculations.

Develop Python applications and testing scripts for Wi-R reference hardware, including smartglasses, earbuds, wearables, EEG and EMG nodes, and health-monitoring devices. The role involves backend development, AWS server deployment, embedded programming, low-level hardware interfacing, firmware debugging, hardware compatibility validation, and test automation. Candidates should understand IoT systems, communication protocols, electrical test equipment, CI/CD, and virtualization or container technologies.

Lead design and delivery of high-throughput, low-latency APIs and backend services. Define API standards (REST, GraphQL, OpenAPI), drive performance, observability, scalability, and resiliency. Coach engineers, participate in design reviews and incident response, and build frameworks to simplify API development for product teams.

Provides professional support for risk technology and AI projects, completing deliverables, collaborating with stakeholders, following quality standards, and adapting to changing business needs. The role requires a related bachelor’s degree or equivalent, 5–8 years of relevant experience, and supervisory experience. Travel to client or organizational locations may be required, with potential increased hours during peak business cycles.

Lead end-to-end technical initiatives for an IoT cloud platform, shaping architecture, strategy, and roadmap. Build and scale React/TypeScript frontends, Python backends, cloud infrastructure, databases, and data systems. Improve developer experience, operate production systems, establish engineering standards, mentor engineers, and influence technical direction across teams. Collaborate closely with product and design while delivering reliable systems for monitoring, debugging, and updating connected devices.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Develop and maintain full-stack Python applications and enterprise services using AWS, NLP, modern front-end frameworks, microservices, REST APIs, databases, and DevOps tools. Translate requirements into maintainable solutions, manage the software lifecycle from design through deployment and maintenance, follow development best practices, and collaborate within an Agile/Scrum team. The role requires an active TS/SCI clearance with polygraph and onsite work in McLean, Virginia.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

Build and operate Python backend services, APIs, and React frontends for a property-management platform. Use AI coding tools extensively for planning, implementation, reviews, testing, and evaluation. Own features end to end, integrate third-party platforms, maintain CI/CD and observability, support safe AWS releases, and collaborate with product and operations. Mentor teammates through code reviews and help establish effective AI-assisted engineering practices.

Own technical solution design, guide engineering teams, conduct design and code reviews, manage technical risks and dependencies, and develop reliable, high-performance microservices. Implement authentication and authorization, deploy containerized services, and apply AI-assisted development practices using Python, AWS Lambda, React, and REST.

Leads architecture, development, maintenance, quality, reliability, and release readiness for software products and services. Makes high-impact technical decisions, designs scalable and secure systems, diagnoses production issues, manages technical debt, and coordinates deployment strategies. Mentors engineers, documents architecture, collaborates with medical directors and laboratory scientists, supports roadmap planning, and contributes to technical hiring. The role requires expertise in Python-related software engineering, concurrency, distributed systems, data modeling, optimization, security, and observability.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Develop, enhance, and maintain information management software and infrastructure services for high-performance computing systems in Linux environments. Apply Python to solve engineering challenges, work with PostgreSQL and SQL, and support automated deployments using Ansible, CI/CD pipelines, and containerization technologies. Collaborate with modern development and infrastructure tools, with familiarity in Agile methodologies, DCIM platforms, and documentation systems.

Own technical solution design, guide engineering teams, conduct design and code reviews, manage technical risks and dependencies, develop microservices, implement authentication and authorization, improve reliability and performance, and deploy containerized services.