Top Engineering Jobs in San Francisco, CA

Designs and integrates large-scale Azure network fabrics, including Ethernet, RDMA, and InfiniBand networks for demanding AI and cloud workloads. Responsibilities include troubleshooting physical network components, operating systems, APIs, and register sets; participating in on-call incident response; creating design and migration plans; leading network, code, testing, and security reviews; and developing reliable, scalable, secure automation and production solutions.

Leads and develops site reliability engineers responsible for highly available, secure, compliant Substrate services in regulated environments. Owns operational health, SLOs, incident response, post-incident reviews, disaster recovery, game days, automation, telemetry, and operational excellence. Partners with engineering, product, security, compliance, infrastructure, and operations teams to embed reliability into service design. Provides hands-on on-call leadership, shapes cross-organizational reliability strategy, and develops senior and principal engineers.

Work with customers and cross-functional teams to design and implement cloud-based solutions. Write and reuse code, produce design documents, estimate and decompose work, contribute to open-source assets, collaborate with product teams, and act as an on-call DRI to monitor and restore services. Stay current on tooling and practices to improve reliability, performance, and observability.

Design, implement, and operate highly scalable Azure Compute services and full-stack features. Collaborate on requirements, design docs, and dependency management. Drive reliability, performance, observability, and incident response as a designated responsible individual and on-call engineer.

Leads customer-facing cloud and AI architecture engagements across Azure workloads, advising executives, designing secure and scalable solutions, guiding implementation, resolving technical blockers, and driving cloud adoption. The role owns technical delivery for strategic accounts, supports proposals, mentors peers, and helps enterprises modernize applications, optimize infrastructure, and scale production AI solutions.

Leads enterprise architecture, AI-powered transformation, and outcome-based solution strategy for Microsoft’s U.S. Commercial Industries organization. Partners with executives, customers, engineering, product, sales, and consulting teams to design scalable architectures, reusable engineering frameworks, and AI-enabled solutions. Establishes governance, metrics, best practices, and innovation models while mentoring customer engineering and AI teams. Drives cross-functional collaboration, technical program execution, customer-focused decision-making, and responsible technology adoption.

Serves as the primary engineering contact for strategic Azure customers, resolving critical and complex cloud incidents, troubleshooting enterprise applications and infrastructure, conducting root cause analysis, and providing proactive architecture and deployment guidance. Partners with support, engineering, product, and customer success teams to mitigate incidents, communicate technical resolutions, advocate for customer needs, identify recurring issues, and drive product improvements.

Design, build, and operate a massively scalable Azure usage billing platform. Own full lifecycle engineering including design, test strategy, SRE/on-call, monitoring, CI/CD, deployment, and long-term sustainment. Develop distributed, resilient systems, service management, usage pipelines, SDKs, observability, and tooling to ensure accurate billing and reliability at cloud scale.

Provides technical leadership and oversight for geotechnical engineering across Microsoft's AMER data center portfolio. Responsibilities include site due diligence, geological condition reviews, land acquisition risk assessment, geotechnical report reviews, ground improvement recommendations, foundation coordination, regional standards development, emerging technology evaluation, and construction issue resolution. The role leads cross-functional stakeholders, consultants, contractors, and engineering teams supporting hyperscale data center design and construction.

Design and implement scalable, durable distributed storage services for Azure Archive Storage. Collaborate with hardware and firmware teams, lead design and feature implementation, mentor engineers, act as DRI and on-call owner, and improve service availability, reliability, performance, and observability at cloud scale.