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

Lead architecture, design, and delivery of large-scale microservices systems. Define standards, mentor teams, drive cloud, containerization, CI/CD, observability, data strategies, and risk mitigation while aligning technology with business goals.

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.

Develop and customize SS&C Geneva and GWI solutions including reporting and Geneva Accelerator tools. Design APIs and multi-layer Java/J2EE (Spring) architectures. Apply private markets accounting expertise, communicate with technical and non-technical stakeholders, and work independently to deliver solutions.

Lead cross-functional programs from planning through delivery, manage budgets and stakeholders, ensure quality and customer satisfaction, maintain program status reporting, and follow SDLC and project management best practices.

Translate ambiguous business problems into AI-native product opportunities. Develop future-state, prompt-driven experiences, hyper-personalized journeys, and strategic narratives. Lead cross-functional teams, benchmark AI product trends, and present executive-ready transformation roadmaps.

Design, develop, deploy, and maintain backend components and large-scale cloud-based systems. Write tests, perform code reviews, debug, and collaborate with cross-functional teams to build scalable APIs, microservices, and reliable production software in an agile environment.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

Build and scale production Generative AI applications: design multi-agent systems and LangGraph workflows, implement advanced RAG with LlamaIndex and vector DBs, integrate and fine-tune various LLMs, and deploy containerized FastAPI services with monitoring, CI/CD, and performance/cost optimizations.

Design, develop, maintain, and optimize enterprise Tableau dashboards and BI solutions. Integrate and cleanse data from Oracle/Sybase/Big Data, tune SQL, automate Tableau extracts, manage Tableau Server on Linux, support testing, UAT, deployments, and troubleshoot data integrity and performance issues.

Support consulting teams by conducting primary and secondary research, analyzing data, building financial models and dashboards, and preparing clear client deliverables. Participate in client meetings and workshops, collaborate with cross-functional teams, monitor industry trends, and contribute to firm knowledge and best practices.