Top Engineering Jobs in San Francisco, CA

Design, implement, and operate cloud-scale telemetry platforms, data pipelines, and infrastructure for Azure Monitor. Lead cross-team architecture and execution, improve AI development tooling, establish engineering best practices, mentor engineers, partner with product/SRE/security teams, and investigate and resolve complex production incidents with focus on security, privacy, and performance.

Design and deliver physical datacenter telecommunications infrastructure from Basis of Design through Issue for Construction. Lead telecom design reviews, manage A/E firms and consultants, oversee construction administration, resolve technical risks and coordination issues, ensure standards and build quality, support multiple concurrent datacenter projects, and perform site visits as needed.

Design, build, and maintain reliable distributed cluster and engineering systems for Azure Data and Fabric SQL Data Warehouse. Enable rapid deployments, validate releases, troubleshoot cross-team issues, produce secure performant code, lead design discussions, contribute to roadmap and architecture, and participate in on-call rotations to maintain service health.

Design, implement, debug, and ship front-end features for Azure Storage at cloud scale. Create design documents, identify dependencies, improve performance, reliability, observability, and automation. Act as a DRI, mentor engineers, participate on-call rotations, and collaborate with stakeholders to drive release and project plans.

Design and implement hardware health monitoring, predictive analytics, and diagnostics for exascale GPU clusters. Lead incident triage, define health KPIs, collaborate with silicon/firmware/datacenter teams, and drive automation to improve reliability and reduce manual interventions.

Design, build, and operate infrastructure for Azure Red Hat OpenShift hosted control planes. Automate cluster management, regional buildouts, CI/CD, monitoring, and releases. Collaborate with Microsoft and Red Hat to deliver scalable, secure, cloud-native solutions and improve AKS/ARO operations and tooling.

Lead a cross-discipline engineering team delivering cloud-based solutions; provide portfolio and delivery leadership; coach software engineers, technical program managers, and data scientists; act as a player‑coach on selected engagements; drive engineering excellence, reusable patterns, and responsible AI adoption; collaborate with product teams, partners, and customers to build high-impact, open-source solution assets.

Design and deliver scalable, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native and container orchestration solutions, integrate AI capabilities, participate in on-call rotations, mentor engineers, and improve availability, performance, observability, and operational consistency at scale.

Design, build, and maintain cloud-based solutions; collaborate with customers, product teams, and partners; develop reusable, high-impact patterns and open-source assets; act as DRI, monitor and restore services, drive design and release plans, and mentor other engineers to improve reliability, performance, and observability.

Design, build, and operate AI-native, cloud-native infrastructure for Azure Kubernetes Service. Improve reliability, automation, and developer velocity for distributed, containerized, and AI workloads; integrate AI tools into engineering workflows.