Top Engineering Jobs in San Francisco, CA

Build and operate production-grade inventory services, APIs, workflows, and user experiences for Microsoft datacenter asset lifecycles. Partner with product, operations, supply-chain, and engineering teams to solve ambiguous problems end to end. Apply generative AI, automation, telemetry, testing, observability, secure deployment, and reliability practices while delivering measurable customer and operational impact.

Designs and operates large-scale Azure network fabrics, including Ethernet, RDMA, and InfiniBand back-end networks for AI workloads. Responsibilities include developing resilient network designs, integrating third-party technologies, troubleshooting physical and software network components, conducting root-cause analysis, supporting production incidents, creating implementation plans, and leading design, security, testing, and code reviews. The role includes on-call responsibilities and collaboration across engineering teams and vendors.

Develops and operates software for Azure’s hyperscale networking infrastructure and SONiC-based switches and routers. Responsibilities include coding, debugging, optimization, system design, telemetry, reliability, monitoring, incident response, and collaboration with stakeholders. The role requires expertise in networking, distributed systems, Linux, container technologies, and software-defined networking, while supporting open-source switch software and guiding other engineers.

Support customers end-to-end as a cloud solution architect focused on partner practice building and IP creation. Provide technical leadership for Unified Onboarding and Renewals, develop repeatable services and delivery guides, drive cross-team orchestration, enable partners and field teams, and improve customer outcomes through solution design, delivery models, and stakeholder collaboration.

Leads enterprise cloud architecture and delivery for federal customers across Azure AI, applications, infrastructure, and data workloads. Acts as a trusted advisor to executives, shapes cloud and AI strategies, coordinates Microsoft, partner, and customer teams, manages technical risks and dependencies, and guides secure, scalable implementations. Drives Azure adoption, consumption, operationalization, and measurable business outcomes while mentoring peers, developing repeatable intellectual property, and translating complex technical concepts into executive-level messaging.

Design, build, and deploy secure, scalable cloud and AI solutions from prototype through production. Partner with customers and multidisciplinary teams to translate business needs into technical solutions, apply modern engineering practices, improve reliability, and deliver measurable outcomes. Create reusable frameworks, guide teams through ambiguity, mentor engineers, communicate technical tradeoffs, and support customer adoption through coaching and documentation.

Leads design and development of Azure Compute Fleet capabilities orchestrating Virtual Machine Scale Sets across regions. Designs distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Drives AI-enabled engineering productivity, partners across Azure teams on architecture and delivery, and serves in on-call and live-site reliability rotations.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term engineering strategy, leads streaming and batch system design, resolves scalability and reliability challenges, and drives cross-team architectural alignment. Owns capabilities from design through production operations, improves engineering quality and observability, and mentors engineers and technical leaders. The role also applies AI and machine learning approaches to operational and automation scenarios.

Designs, builds, and operates distributed CI/CD services at massive scale using Azure, virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, system design, coding, debugging, optimization, operational excellence, monitoring, incident response, on-call support, and mentoring. The role supports engineering tools used by Microsoft and external customers to build, test, and release software across global data centers.

Develop and operate software that automates hardware validation, onboarding, lifecycle management, metadata tracking, and security for Microsoft datacenters. Responsibilities include requirements gathering, system design, coding, debugging, optimization, reliability improvements, monitoring, on-call support, and technical leadership across Azure teams.