Top Senior Python Jobs in San Francisco Bay Area, CA

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

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.

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

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 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 and maintain Python applications performing SQL/CRUD operations, file extraction/transformation/generation (CSV, XML, JSON, PDF), and email integration. Collaborate in an onsite/offshore model, communicate clearly, and perform effectively under pressure for contract assignments.

The Python Developer will manage stakeholder relationships, develop projects using Python and web frameworks, and collaborate on cloud technologies while ensuring standards are met and improved.

Build and maintain React + TypeScript web applications and interfaces for AI agent control planes. Partner with designers to harden designer-written code, extend Python backend services and APIs, work in a Kubernetes-native distributed system, and explore agent-native interactive workflows across web and CLI.

Maintain and improve the LangChain Python package, enhance documentation, assist users, and build example applications.

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

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

We seek a Sr. Python Developer to work across various tech stacks, focusing on backend services and mobile app development while being adaptable and eager to learn.

Lead development of a document-centric web interface integrating Vertex AI Search. Build React frontends and Python backends, implement document processing, vector search/RAG pipelines, optimize performance and scalability, write tests, and collaborate with cloud and architecture teams to deliver an enterprise-grade AI platform.

The Senior Software Engineer will build a large-scale data ingestion and classification system using web scraping, data processing, and search technologies, overseeing data extraction from various sources and developing search capabilities.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.

Develop and maintain backend solutions, ensuring performance, security, and regulatory compliance, while collaborating in cross-functional teams.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

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 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.

As a Senior Full Stack Software Engineer, you will design and maintain the core platform for sports betting, developing APIs and frontend features, optimizing performance, and ensuring compliance while mentoring junior engineers.

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.