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

Designs and governs scalable Salesforce architectures for the VA OMEGA program. Leads technical design sessions, integration and data modeling decisions, security and performance optimization, development standards, code reviews, and platform governance. Provides technical leadership and mentorship while collaborating with technical and business stakeholders. Requires extensive Salesforce enterprise implementation experience, expertise in Apex and Salesforce platform capabilities, and familiarity with MuleSoft, DevOps, CI/CD, and automated testing.

Configure, test, validate, package, and deploy applications through MECM/SCCM across laboratory, testing, production, virtualized, and multi-session environments. Support reliable enterprise application delivery for the Department of Veterans Affairs, troubleshoot deployment logs, automate with PowerShell, administer Windows systems and Active Directory, and collaborate with testers and packagers while meeting federal security and operational standards.

Develop and deploy a secure, scalable, bi-directional integration between ServiceNow and JIRA. Synchronize incidents, demands, change requests, and other work items across platforms using REST/SOAP integrations, webhooks, authentication models, and cross-platform data mapping. Design custom ServiceNow applications and integration architectures that meet enterprise security, governance, and SDLC standards while supporting Department of Veterans Affairs healthcare IT missions.

Design, build, and deploy agentic AI systems, orchestration pipelines, and RAG/knowledge retrieval services. Implement scalable backend services, observability, LLMOps practices, and integrations with code repositories and enterprise systems. Mentor engineers and ensure explainable, traceable AI for regulated federal healthcare environments.

Design, prototype, and productionize applied AI capabilities (LLMs, RAG, agents) to improve reasoning, explainability, and developer productivity. Optimize retrieval, embeddings, multi-agent workflows, and evaluation frameworks; build benchmarks and diagnostics. Collaborate with architects and engineers to ingest enterprise knowledge, refine semantic search, and transition experiments into FedRAMP-aligned production for federal healthcare modernization.

Design and build identity services for AI agents and enterprise systems: authentication/authorization (OAuth2/OIDC/JWT/SAML/mTLS), credential lifecycle, enterprise IdP integrations, secure agent access, developer-facing identity SDKs/APIs, auditability, and compliance alignment for FedRAMP/Zero Trust environments.

Lead end-to-end front-end development for an enterprise Agentic AI platform. Design interactive, explainable UIs that render streaming LLM outputs, code citations, dependency graphs and authoring workflows. Build real-time experiences with WebSockets/streaming APIs, ensure traceability to source code, collaborate with AI engineers and designers, and drive accessibility, performance, and observability across a FedRAMP-aligned federal deployment.

Lead AI architecture and strategy for enterprise AI transformation: design scalable platforms using LLMs, RAG, agentic AI, and advanced analytics; establish patterns, governance, and MLOps; guide teams from POC to production while aligning technical roadmaps with business objectives.

Lead the BA practice for a VA prosthetics AI modernization program: extract and validate business rules from VistA/MUMPS, apply human-centered design, define BA methodology, review BA deliverables, liaise with VA stakeholders and governance, mentor BA team, align scrum team backlogs, ensure accessibility and VIP artifact readiness, and support change management and training.

Support VA AI modernization by reverse-engineering VistA/MUMPS Prosthetics module functionality to extract business rules, document requirements, create user stories and process flows, and collaborate with stakeholders and technical teams during Agile delivery, testing, and modernization efforts.