Top Engineering Jobs in San Francisco, CA

Design, build, and operate large-scale distributed host networking systems for Azure. Develop and maintain host agent services for network configuration, connectivity, and traffic orchestration. Improve reliability, observability, and deployment safety; lead incident root-cause analysis; drive architecture and mentor engineers.

Design and build distributed, cloud-native infrastructure for Azure Kubernetes Service. Improve reliability, automation, and developer velocity; integrate AI tools; support GPU/accelerator orchestration and AI workload deployment at scale.

Lead design and delivery of large-scale Azure platform solutions to improve reliability, performance, and scalability. Collaborate with stakeholders, drive architecture and cross-team remediation, mentor engineers, be a DRI for services, monitor production, and incorporate AI/ML and telemetry to enhance operations and observability.

Design and scale Azure infrastructure solutions, create reference architectures and migration IP, advise customers and partners, drive product feedback to engineering, enable migrations and modernization, and deliver community technical enablement and training.

Microsoft Software Engineer role (IC3/IC4) with listed U.S. and SF/NY base pay ranges. Position remains open until filled. Job listing focuses on compensation and equal opportunity; specific responsibilities and technical requirements are not provided.

Lead design and delivery of a hyperscale deployment platform using AI to improve automation, reliability, and performance. Mentor engineers, own features across the development lifecycle, and drive automation, monitoring, and scalability improvements.

Trusted technical advisor who designs, deploys, and optimizes Microsoft Intune and Endpoint Management solutions. Drives secure endpoint management, modern workplace transformation, zero trust adoption, and device lifecycle modernization. Partners with customers, account teams, and engineering to deliver proof-of-concepts, validate architectures, accelerate adoption, and scale solutions while providing technical leadership, change management guidance, and cross-team collaboration to realize business outcomes.

Lead design and delivery of app and data modernization solutions on Azure. Build reusable, code-based IP and automation, advise customers and field teams, unblock escalations, and scale agentic modernization tooling and skilling across Microsoft and partners.

Design, build, test, and operate high-performance, low-latency networking for large-scale AI/HPC workloads in Azure. Troubleshoot incidents, validate devices and firmware, automate deployments, monitor telemetry, and support datacenter technicians.

Design, operate, and maintain large-scale HPC environments for training frontier AI models. Own deployment and operation of schedulers (SLURM, Kubernetes), specialize in a core HPC domain (GPU compute, storage, networking), build automation with Bash/Python, support researchers' workloads, and tune cluster performance and reliability.