Top Senior Python Jobs in Boston, MA

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.

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.

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.

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.

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.

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.

Lead the design, development, and operation of production-grade automation, agent frameworks, and CI/CD pipelines supporting documentation, localization, and language operations. Integrate platforms through REST APIs and MCPs, apply LLM capabilities responsibly, improve reliability and scalability, establish reusable standards, and mentor engineers. The role is fully remote in the US, with preferred Eastern or Central time zone availability.

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.

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

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.

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.

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.

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.

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.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

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.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

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.

Build and maintain full-stack wealth management platform features using Python and Angular or React. Design service-oriented architectures and REST/SOAP APIs, work with relational databases and ORMs, contribute to AWS or Azure cloud architecture, and deploy using container technologies. Collaborate in Agile/Scrum ceremonies, participate in code reviews and demos, and work independently with distributed teams.

Senior iOS developer responsible for implementing native iOS features, improving user experience, participating in agile squads, conducting code reviews, troubleshooting customer issues, and helping modernize backend services on AWS. Collaborates with product and UI teams and documents technical knowledge while following best practices.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.