Top Senior Python Jobs in Boston, MA

Leads multiple technology projects and engineering teams developing distributed microservices, full-stack systems, and cloud-native platforms. Provides technical leadership on architecture, system design, reliability, performance, platform roadmaps, and shared services. Partners with product managers and architects, mentors engineers, drives technology strategy, establishes coding standards, and delivers secure solutions supporting regulatory and compliance needs.

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.

Lead the design, development, and implementation of resilient pricing tools using Python and cloud technologies. Improve automation, deployment reliability, testing, documentation, and technical standards. Coordinate complex projects, research new development practices, identify technical blockers, and mentor junior developers. Collaborate with stakeholders while developing expertise in insurance pricing and supporting applications built with technologies such as Streamlit, Flask, Docker, Kubernetes, and cloud compute.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

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.

Senior Python Developer responsible for taking ownership of an existing software project, understanding its architecture, completing unfinished features, resolving bugs, reducing technical debt, improving performance and reliability, expanding test coverage, and preparing the application for production release. The role requires independent decision-making, collaboration with stakeholders, API and database integration experience, and strong software engineering practices.

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.

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.

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.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends, backend APIs and microservices, and cloud-native AWS solutions. Drives system design, observability, security, performance, CI/CD, and automated testing while mentoring engineers and guiding architecture and code reviews. Collaborates with product, design, architecture, and business stakeholders to deliver enterprise-grade solutions and resolve complex production issues.

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.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Develop software applications in Python, integrate third-party and portfolio management APIs, build ETL and data integration solutions, process XML and JSON, work with MySQL and complex SQL, extract information from PDF and Excel documents, conduct code reviews, and mentor developers.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Modernize legacy SAS data-processing systems by translating logic into scalable, high-performance Python solutions. Build and optimize large-scale data pipelines using formats including SAS, Parquet, JSON, and SQL. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code. Collaborate with IT specialists and stakeholders to validate requirements, troubleshoot issues, and deliver cloud-native modernization solutions.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

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.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Develop Python-based solutions performing SQL/CRUD operations, file extraction/transformation/generation (CSV, XML, JSON, PDF), and email integration. Work in an onsite/offshore model, collaborate with teams, communicate clearly, and perform under pressure for contract assignments.

Lead development of Python-based web applications using Django and FastAPI, architect scalable solutions, and establish technical standards while mentoring developers and optimizing infrastructure.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.