Top Senior Python Jobs in Boston, MA

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 Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

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

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.

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.

Design, develop, and maintain enterprise-grade Python applications and data-processing systems. Build production-ready, secure, high-performance code, optimize large-scale data pipelines, produce architecture artifacts, support CI/CD and incident response, mentor engineers, and collaborate with product, data, and infrastructure teams to improve reliability and observability.

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.

Build and maintain scalable backend services in Python and Java (Spring Boot), develop responsive React frontends, integrate AI/GenAI (LLMs, RAG) using frameworks like LangChain/LlamaIndex, collaborate with cross-functional teams, troubleshoot and optimize systems, and ensure coding, security, and performance best practices.

Develop and maintain flight and ground station software for satellite communications subsystems. Design and validate constrained-hardware platform applications, improve test coverage and documentation, contribute to architecture and peer reviews, and provide expert support to satellite operations.

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.

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.

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 Senior Full Stack Engineer will develop scalable web applications using Python and React.js, mentor team members, and enhance system performance while leveraging AI technologies. The role emphasizes collaboration, end-to-end feature ownership, and architectural improvements in a remote setting.

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 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.

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.

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.

Design and build full-stack applications that expose AI/ML insights. Develop backend services in Python, RESTful APIs, and containerized microservices. Build high-performance front-end interfaces with React/Vue/Angular. Implement cloud-native solutions on Google Cloud or Azure, manage relational and NoSQL databases, apply testing and CI/CD, and participate in Agile development and architecture sessions.