Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads the Americas lease commissioning program for Microsoft datacenter capacity. Manages commissioning strategy, governance, standards, readiness reviews, Integrated Systems Testing, operational turnover, and Ready for Service milestones. Directs Lease Commissioning Managers, oversees lease providers, manages portfolio risks and performance, and coordinates engineering, operations, networking, finance, and delivery teams. Ensures facilities are safely commissioned, validated, operationally ready, and aligned with Microsoft standards, contractual obligations, schedules, and capacity objectives.

Lead architecture and technical direction for Azure cloud infrastructure, Kubernetes platforms, storage systems, and machine learning infrastructure. Design scalable distributed systems for model training, inference, data processing, and platform services. Improve reliability, security, resource efficiency, and operational performance while supporting MLOps and production AI workloads. Partner with engineering and product leaders, establish technical standards, guide cross-team architecture decisions, and mentor engineers.

Provides technical leadership for global datacenter battery monitoring system deployments. Responsibilities include troubleshooting complex issues, establishing global standards, managing lab deployments, testing system configurations, resolving security findings with suppliers, and improving system reliability, availability, and infrastructure interactions. The role also supports automation, cloud or distributed systems, budgeting, purchasing, and project management activities.

Designs secure, scalable AI and cloud architectures for Microsoft partners. Leads architecture sessions, develops proofs of concept and pilots, provides technical implementation guidance, supports legacy-to-cloud transitions, and helps partners build production-ready Copilot, agentic, and managed-service solutions. Serves as a technical bridge between Microsoft engineering and strategic partners while advising on data, applications, APIs, security, governance, and enterprise AI adoption.

Designs and operates offensive cyber-capability evaluations for frontier AI models and agentic systems. Builds cyber ranges, vulnerable applications, exploit-development targets, evaluation harnesses, telemetry, scoring, and containment controls. Executes controlled experiments, analyzes model behavior and evaluation artifacts, documents findings, and collaborates with red-team operators, researchers, engineers, and Responsible AI stakeholders.

Design, implement, and optimize core components of a hyperscale distributed file system and metadata service on Azure. Work on DPU-based storage servers, ensure high availability, reliability, durability, and cost efficiency. Produce design documents, break down features, estimate work, implement code, act as on-call DRI, and improve observability and operations at scale.

Develops and operates large-scale Azure automation for datacenter processes, including workload migration, server decommissioning, orchestration, validation, monitoring, and reliability improvements. Designs, implements, optimizes, debugs, and maintains software while collaborating with infrastructure and partner teams. Acts as an on-call responsible individual, resolves service issues, improves observability and efficiency, and guides other engineers.

Leads technology strategy and transformation roadmaps for strategic enterprise accounts. Advises executive stakeholders on AI, security, cloud, data, and sovereignty initiatives; coordinates Microsoft, partner, engineering, and services teams; drives customer outcomes, executive engagements, pipeline growth, and adoption of Microsoft technologies.

Leads analytics and reporting for Microsoft’s Cloud Solutions Provider authorization ecosystem. The role develops actionable insights, evaluates business and operational data, improves data quality and governance, standardizes reusable self-service reporting, and drives AI and automation initiatives. It partners with engineering, AI, operations, and compliance teams to identify risks, improve program performance, support strategic decisions, and present findings to senior stakeholders.

Define architecture and technical strategy for Azure Specialized cloud platforms. Design highly available distributed services, improve scalability, reliability, observability, security, diagnostics, and operational efficiency. Establish service health frameworks, SLOs, metrics, and governance while reducing incidents and customer impact. Partner across engineering, networking, security, product, and operations teams, and mentor engineers to advance technical excellence.