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

Lead technical strategy with channel partners across ASEAN to build repeatable Microsoft Cloud and AI Workforce offerings (Copilot, Power Platform, Agents). Drive architecture design, workshops, POCs, offer development, partner enablement, and co-sell execution to convert technical capability into scalable revenue and customer outcomes.

Drive customer onboarding, deployment, adoption, and optimization of Microsoft cloud solutions. Provide consultative technical guidance across Microsoft 365, Security, Endpoint, Copilot, Identity, and data protection; remove deployment blockers; collaborate with architects, product groups, partners and customer success teams; create reusable playbooks and feedback for product improvements.

Manage ecosystem enhancement projects across the Americas by driving environmental due diligence, permitting, consultant management, regulatory and stakeholder engagement, budgeting, scheduling, implementation oversight, monitoring/reporting, and cross-team coordination to ensure on-time delivery and compliance.

Designs and delivers secure, scalable Azure infrastructure and cloud transformation solutions for customers. Leads architecture sessions, migrations, modernization, proofs of concept, and production deployments across infrastructure, applications, data, SAP, hybrid environments, and AI workloads. Partners with technical and sales teams to identify opportunities, resolve blockers, optimize customer environments, develop reusable intellectual property, and drive adoption, resiliency, performance, and business value.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Build and optimize Azure Storage’s hyperscale distributed file system. Responsibilities include designing and implementing storage features, analyzing performance, ensuring availability, security, reliability, and durability, creating technical designs, estimating work, monitoring services on call, and improving observability and operational efficiency at scale.

Design, build, and maintain reliable, high-scale multi-tenant services with emphasis on security, resilience, testability, and automation. Collaborate cross-team, participate in on-call rotation, support live services in Azure air-gapped regions, and contribute to new service buildouts and operational reliability.

Design, implement, and optimize large-scale distributed training infrastructure and telemetry for GPU clusters. Profile, benchmark, and debug performance across compute, memory, networking, and storage. Improve collective communication libraries and collaborate with ML researchers and hardware teams to scale models, optimize accelerators, and deliver fleet-wide efficiency improvements and automated recommendations.

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.