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

Lead global, cross-functional technical programs for Microsoft datacenter infrastructure. Develop multi-year strategies, manage dependencies, risks, governance, execution metrics, and operational readiness across distributed engineering teams. Optimize infrastructure utilization, scalability, availability, performance, security, and sustainable cloud operations. Partner with senior leaders and teams across engineering, operations, finance, and external stakeholders to pilot, scale, and deliver impactful infrastructure initiatives.

Secure Windows products and devices through security design and code reviews, penetration testing, vulnerability research, fuzzing, and mitigation development. Build reusable security-review tools, identify vulnerabilities in operating-system features and native applications, investigate attack vectors, and collaborate with Windows engineering teams to implement scalable defenses. The role also involves engaging with external security researchers and communicating the business value of security investments.

Own compliance readiness, Azure region expansion, and product release management across Azure Edge products and services. Translate regulatory, cybersecurity, and market-access obligations into engineering requirements, roadmaps, release criteria, and execution plans. Coordinate engineering, product, security, legal, and compliance teams; identify risks and dependencies; establish metrics and operating mechanisms; and contribute requirements to AI-enabled compliance capabilities.

Serve as a trusted Cloud and AI advisor, guiding customers through Azure transformation initiatives. Own the end-to-end sales lifecycle, develop pipeline, drive Azure consumption and expansion, and position Microsoft solutions against competitors. Lead customer workshops, demos, solution storytelling, business value discussions, and cross-functional virtual teams. Identify new opportunities, accelerate strategic cloud motions, and help customers modernize infrastructure, data estates, analytics, and AI capabilities.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Build and operate production-grade software, APIs, workflows, and user experiences for Microsoft’s cloud datacenter inventory and asset management platforms. Responsibilities include translating ambiguous operational needs into technical solutions, applying AI-native engineering practices, improving automation, ensuring reliability and security, and owning features through design, implementation, deployment, monitoring, and continuous improvement. The role collaborates with product, program, datacenter operations, supply-chain, and engineering teams.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Own AI adoption, culture, organizational health, and complex business programs for Microsoft’s sales acceleration organization. The role leads operating-model transformation, removes adoption barriers, coordinates culture initiatives and leadership communities, tracks program and organizational impact, and manages portfolios with timelines, milestones, budgets, risks, resources, and success metrics. It requires cross-functional influence, executive communication, change management, and measurable delivery across matrixed teams.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Design, develop, and deploy software for Azure SmartNIC platforms and networking offloads. Improve performance, scalability, reliability, and telemetry for cloud networking services supporting compute and storage. Collaborate across hardware, firmware, silicon, platform, and service teams while troubleshooting production incidents and delivering high-availability solutions. Responsibilities include software design, coding, testing, performance analysis, monitoring, diagnostics, and production deployment for hyperscale distributed systems.