Top Python Jobs in Boston, MA

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. Uses Python, TypeScript, JavaScript, Java, SQL, Go, AWS, databases, Docker, and Kubernetes. Requires a bachelor’s degree, four years of software engineering experience, and one year of cloud experience.

Leads software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Design, develop, and deploy high-performance distributed optimization, data, and simulation systems. Collaborate with cross-functional teams, resolve data quality and production issues, write maintainable code with TDD, unit tests, and CI/CD, and advocate engineering best practices.

Lead diverse technology projects in distributed microservices and full stack systems, mentoring team members and collaborating with product managers on cloud-based solutions.

Lead a team to develop distributed systems using Golang and Python on Kubernetes, collaborate on AI/ML solutions, and drive technological innovation.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Lead the technical direction for integrating algorithms on the Prism Mapping platform, focusing on real-time signal pipelines and optimization strategies. Collaborate with teams to ensure robust clinical performance and timely delivery of new capabilities.

As a Senior Software Engineer, you'll develop signals and algorithm interfaces, collaborate with developers, optimize algorithms, and mentor engineers in a regulated environment.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

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.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires strong software engineering expertise, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without deeply reviewing or executing every line.

Design, build, and maintain scalable full-stack web applications using React, Python, Node.js, and C#. Develop cloud-native AWS solutions with event-driven and serverless architectures, manage relational and NoSQL data stores, write automated tests, maintain infrastructure as code, and contribute to CI/CD pipelines. Collaborate with cross-functional engineering teams on architecture, security, performance, and end-to-end feature delivery in an agile environment.

Develop and maintain end-to-end applications using Python, Node.js, C#, and React. Build scalable backend services, frontend features, APIs, cloud-native AWS solutions, automated tests, infrastructure as code, and CI/CD pipelines. Collaborate with cross-functional engineering teams in an agile, remote environment while contributing to architecture and reliable product delivery for US clients.

Design, develop, test, and maintain scalable Python applications, backend services, REST APIs, microservices, and integrations. Work with databases, asynchronous processing, cloud platforms, containers, CI/CD, security, observability, and distributed systems. Troubleshoot production issues, optimize performance, create automated tests, participate in code reviews and architecture decisions, and collaborate with product, DevOps, QA, and engineering teams.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Develop and maintain Python software applications, backend services, APIs, integrations, and database solutions. Responsibilities include troubleshooting, testing, deployment, code review, performance monitoring, documentation, and collaboration with a distributed remote team. The role requires independent work, strong communication, and reliable delivery of maintainable, scalable software.

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.

Design and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.