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

Lead performance testing efforts: design and execute load tests, analyze results, perform root-cause analysis, collaborate with developers and infrastructure, build a standardized performance testing practice, produce test artifacts and reports, and recommend performance, capacity, reliability, and scalability improvements.

Design, build, and maintain scalable backend services in Java and Python. Implement RESTful/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, enforce security (OAuth2/JWT), write unit/integration tests, optimize performance, and collaborate with frontend and DevOps teams in Agile processes.

Full Stack/Frontend Developer building responsive, accessible, high-performance UIs with React or Vue, integrating with Java/Spring Boot backends. Design component-based architectures, manage state, consume REST APIs, write UI tests, use modern frontend tooling and CSS methodologies, work in CI/CD pipelines, and collaborate within Agile teams.

Lead architecture and delivery of scalable, secure Agentic AI platforms. Design multi-agent systems, run technical POCs, implement RAG and evaluation frameworks, optimize performance, define MLOps/CI/CD standards, mentor engineers, and collaborate with product and stakeholders.

Develop and maintain scalable React 18+ web applications with TypeScript, build reusable UI components, manage state with Redux Toolkit/Context/Zustand, implement telemetry (Application Insights/OpenTelemetry), optimize Core Web Vitals and performance, and ensure quality via Jest and React Testing Library in an agile team.

Design and scale end-to-end data pipelines and RAG architectures for LLM consumption: ETL/ELT, vector databases, chunking/embeddings, data cleaning/PII removal, metadata engineering, low-latency streaming, and evaluation/versioning to support agentic AI.

Lead Adobe Analytics architecture and MarTech ecosystem design, implement data layers and tagging across web and mobile, ensure QA and privacy compliance, enable reporting and audience activation, and drive cross-functional measurement and governance for personalization and optimization.

Lead end-to-end enterprise experience strategy: identify opportunity areas, conduct qualitative and quantitative research, set strategic direction and success metrics, partner with product and engineering, leverage AI and design tools for concepting, and produce executive-ready recommendations while contributing hands-on design artifacts as needed.

Lead UX design efforts by creating user-centered flows, wireframes, prototypes, and high-fidelity mockups. Incorporate customer feedback and usability findings, collaborate with product, engineering, and stakeholders, and perform post-launch metrics analysis to optimize UX.

Design and implement a scalable Elasticsearch-based analytics platform integrated with an Oracle data warehouse. Architect data models, ingestion/CDC pipelines, index/shard strategies, and monitoring. Optimize cluster, queries, and caching for sub-second dashboard performance, perform load testing and capacity planning, and produce operational documentation and SLAs.