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

Administer and optimize Databricks workspaces across development, test, and production environments. Manage clusters, jobs, workflows, security, governance, monitoring, backups, performance, and cost controls. Automate provisioning and policy enforcement using infrastructure as code, integrate CI/CD pipelines, troubleshoot platform issues, and provide Tier 2/3 support. Collaborate with data, analytics, security, and IT teams while documenting procedures, onboarding users, and promoting Databricks best practices.

Leads systems-of-systems architecture, integration, testing, deployment, and lifecycle engineering for Department of the Air Force Zero Trust gateway capabilities. Directs cross-functional engineering teams across networking, compute and storage, hardware, software, and cybersecurity. Owns technical strategy, requirements, risk mitigation, RMF and authorization activities, testing, fielding, and operational transition. Delivers technical briefings, decision papers, and roadmap recommendations to senior military and civilian stakeholders.

Develop and maintain enterprise ServiceNow solutions for VA network operations, including ITOM, CMDB, Discovery, Service Mapping, workflows, integrations, automation, dashboards, and scoped applications. Improve configuration data quality, support Incident, Change, Problem, and Configuration Management, create technical documentation, provide training, and assist with platform governance, modernization, escalations, and major incidents.

Test Engineer responsible for manual and automated quality assurance for a complex CMS case management system. Duties include creating and executing functional, regression, performance, system, non-functional, UAT, and risk-based tests; validating front-end functionality, back-end data, reporting, ETL, and APIs; writing SQL scripts; automating test cases; documenting defects and root-cause analysis; supporting requirements and test plans; and collaborating with Agile/SAFe teams and government stakeholders.

Leads daily operations, maintenance, and technical stability for enterprise production systems. Responsibilities include incident resolution, root-cause analysis, patching, configuration updates, monitoring, automation, performance improvement, vulnerability remediation, and coordination between development and operations teams. The role supports cloud-native applications, integrations, data layers, and multi-environment CI/CD pipelines while maintaining security, reliability, compliance, and documentation.

Leads daily technical activities for an Agile software product team, overseeing development, testing, deployment, code quality, and release coordination. Collaborates with product stakeholders on user stories and sprint planning, promotes DevSecOps, CI/CD, secure coding, cloud-native architecture, reusable components, documentation, and automated testing. Mentors developers, identifies technical risks and dependencies, coordinates cross-team integrations, and drives predictable delivery and engineering excellence.

Designs and implements cybersecurity strategies for a DoD Zero Trust program. Leads RMF activities to obtain an ATO, assesses and mitigates security risks, develops security policies, supports incident response and vulnerability testing, and ensures compliance with DoD controls. The architect collaborates with government customers and technical stakeholders, presents cyber risks, mentors junior professionals, and integrates security across enterprise systems, networks, and applications.

Lead the strategy, architecture, and implementation of enterprise AI-assisted software development. Evaluate and operationalize AI tools, LLM frameworks, and RAG solutions; establish development practices, quality standards, and adoption roadmaps; and build engineering capability through hiring, coaching, education, and change management. Guide full SDLC delivery across distributed teams, integrate AI into software engineering workflows, and translate internal capabilities into customer-facing offerings while supporting cloud, DevSecOps, security, and compliance requirements.

Build and operate event-driven data pipelines processing healthcare claims data for fraud, waste, and abuse detection. Operationalize validated fraud signals, maintain alert delivery and partner dashboards, monitor pipeline reliability, and collaborate with data architects, scientists, and investigative teams. The role requires production-scale pipeline engineering using AWS, Snowflake, Python, and SQL in a fully remote environment.

Leads parallel customer AI/ML solution design engagements from discovery through proposal. Architects enterprise solutions involving predictive analytics, NLP, computer vision, and generative AI; provides cost-benefit and TCO analysis; identifies risks and dependencies; and collaborates with Agile, system architecture, and DevSecOps teams to deploy governed, explainable, and monitored AI/ML systems.