Top Senior Python Jobs in Boston, MA

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.

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 a team of developers to build technology projects using microservices and full stack systems, focusing on cloud-based solutions and mentoring team members.

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

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

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.

Develop and maintain AWS cloud-native applications and backend services using Python. Design scalable architectures, APIs, event-driven applications, and system integrations with Lambda, Step Functions, Kafka, Terraform, and CloudWatch. Troubleshoot complex cloud issues, support migration and modernization, and contribute to technical architecture decisions. This is a hands-on senior developer role requiring regular coding, strong system design, and backend development expertise, with Java-to-Python/AWS experience preferred.

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

The Principal Python Backend Engineer will design and build high-performance backend systems for AI/ML services, focus on clean code, maintainability, and automation, while leading teams through a collaborative and innovative approach.

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, 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 Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

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.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.

Lead backend development on the scheduling platform modernization. Contribute across Python and .NET ecosystems, write APIs, review code, and support AI-accelerated development workflows while collaborating in a remote team environment.

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.

Design, build, and scale distributed backend services supporting hundreds of thousands of users. Develop efficient Golang and Python code, optimize infrastructure, make architectural decisions, conduct code reviews, and collaborate with frontend and mobile engineers. The role also involves technical planning, platform innovation, and contributing to product evolution in an autonomous startup environment.

Lead the design and development of scalable Python backend services and APIs on AWS, mentor engineers, and manage PostgreSQL databases in a healthcare technology environment.

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.

Lead design, build, and operate scalable backend services and carrier integrations. Provide technical leadership, mentor engineers, drive architecture and best practices, write and test code, troubleshoot production incidents, and improve monitoring and reliability while collaborating with product and cross-functional teams.

Build and maintain internal Python platform libraries and tooling to improve developer experience. Drive runtime, dependency, testing, delivery, monitoring, and performance optimization for Python services (including GPU-enabled workloads). Collaborate cross-functionally to define an opinionated SDLC, support on-call rotations, and balance modern practices with risk-aware change. Enable scalable, low-latency distributed systems and provide AI/ML-facing platform capabilities.