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

Design, build, and scale production-grade AI applications and agent-based systems. Lead technical customer engagements, create reusable solution accelerators, drive adoption, ensure production readiness (security, scalability, observability), and influence product roadmap while scaling field capabilities and delivery patterns.

Lead technical strategy with channel partners across ASEAN to design, validate, and scale Microsoft Cloud and Data & AI solutions. Drive offer development, run workshops and POCs, enable specializations, and translate technical work into repeatable, revenue-generating partner services aligned to Microsoft Cloud and AI priorities.

Lead reporting and analytics for the Cloud Solutions Provider authorization ecosystem. Design and deliver actionable analyses, dashboards, and self-service insights; ensure data quality, governance, and security; recommend program improvements; drive standardization and automation; and partner across engineering, AI, operations, and compliance to influence senior stakeholders and improve partner experience and channel growth.

Design, architect, and deliver core capabilities for Azure Archive Storage. Lead technical direction, solve large-scale distributed storage problems, mentor engineers, drive reliability/observability, and serve as DRI for critical service components across cross-functional teams.

Lead a cross-discipline engineering team to deliver high-impact, cloud-based customer solutions. Coach engineers in software, data science, and TPM roles, contribute technically on engagements, promote reusable patterns, and drive AI-forward responsible engineering practices.

Lead a cross-discipline engineering team to deliver high-impact customer solutions, coach engineers and TPMs, drive portfolio and delivery leadership, contribute to reusable patterns and open-source assets, and champion AI-forward engineering and responsible AI practices while partnering with product teams and stakeholders.

Lead a cross-discipline engineering team to deliver cloud-based, AI-forward solutions; coach and grow software engineers, technical program managers, and data scientists; own portfolio delivery and operational excellence; contribute reusable patterns, open-source assets, and responsible AI practices while occasionally acting as a player‑coach on customer engagements.

Lead qualification, performance validation, and production readiness for new Azure Storage hardware and firmware. Drive test planning, automation frameworks, large-scale telemetry and benchmark analysis, root-cause investigations across software/hardware/firmware, and partner with engineering and vendors to resolve reliability and performance issues.

Design and build highly scalable Azure Resource Graph infrastructure for high-throughput query and ingestion. Work on distributed systems, runtime and optional database internals, and cloud service deployment. Drive technical design, execution, cross-team collaboration, and mentor junior engineers while meeting security screening requirements.

Develop, design, and implement code for Azure hyperscale WAN features; gather requirements, estimate and decompose work, participate in on-call DRI duties, monitor reliability and performance, and troubleshoot large-scale distributed systems.