Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build high-performance, real-time Angular frontends for AI-driven agent interfaces. Implement SSE/WebSockets streaming, complex state management with Signals/NgRx, visualizations of agent chain-of-thought, human-in-the-loop controls, performance optimizations, and collaborate with backend/AI engineers on API schemas.

Lead design, delivery and implementation of scalable production software across a complex, regulated environment. Drive DevOps/CI-CD, GitOps, containerization, Kubernetes and IaC adoption, improve incident/problem management and observability, coach teams, implement Agile, and manage senior stakeholders to ensure reliable, high-scale services.

Lead design, build, and maintain scalable backend services using Java (Spring) and Python (FastAPI/Django). Implement REST/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, ensure security (OAuth2/JWT), write tests, improve performance, and collaborate in Agile with frontend and DevOps teams.

Lead UX strategy and execution for complex, data‑heavy enterprise finance applications focused on risk, compliance, audit, and governance. Translate regulatory requirements into information architecture, user journeys, dashboards, and prototypes. Design scalable interaction models and simplify rule‑heavy workflows while collaborating with product, engineering, and compliance teams.

Design, develop, and secure blockchain solutions including smart contracts and DApps. Collaborate with teams to integrate, optimize performance, audit security, document projects, and provide technical support and training.

Lead design, develop, test, release, and maintain React Native mobile apps and supporting APIs. Build scalable, low-latency UIs, write unit tests, implement CI/CD and automated testing, monitor performance and crashes, troubleshoot issues, collaborate with product and cross-functional teams, and mentor junior developers.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

Design, build, and scale production Generative AI applications including multi-agent systems, advanced RAG pipelines, and local/frontier LLM deployments. Implement high-performance backends with FastAPI and async Python, fine-tune and quantize models, integrate vector databases and retrieval systems, and deploy/monitor containerized AI services for reliability, latency, and cost optimization.

Design, build, and maintain ETL/ELT data pipelines and orchestration using Airflow, Python, and PySpark. Develop custom connectors, implement DataOps and CI/CD for data workflows, monitor and troubleshoot pipelines, validate data quality, and document processes while collaborating with cross-functional teams and supporting large-scale distributed data systems.

Design and lead backend architecture for large-scale, cloud-native, event-driven e-commerce and loyalty platforms. Define API, integration, data persistence, observability, and IaC standards using Python/FastAPI and AWS. Provide technical leadership, governance, and modernization for high-throughput, resilient, secure, and scalable customer-facing systems.