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Member of Technical Staff, Site Reliability Engineer (HPC)

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Microsoft Corporation

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Location:
United States , Mountain View

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year
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Job Description:

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. We’re looking for an experienced HPC Site Reliability Engineer (SRE) to join our High Performance Computing (HPC) infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll ensure that AI systems stay efficient and reliable with very high uptimes.

Job Responsibility:

  • Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of HPC clusters powering MAI model training and inference
  • Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into all aspects of HPC systems including GPU, clusters, storage and networking
  • Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in CPU+GPU environments
  • Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements
  • Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments
  • Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows

Requirements:

  • Master's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering
  • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering
  • OR equivalent experience
  • Strong proficiency in Kubernetes, Docker, and container orchestration
  • Knowledge of CI/CD pipelines for Inference and ML model deployment
  • Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code
  • Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.)
  • Strong programming/scripting skills in Python, Go, or Bash
  • Solid knowledge of distributed systems, networking, and storage
  • Experience running large-scale GPU clusters for ML/AI workloads (preferred)
  • Familiarity with ML training/inference pipelines
  • Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators)
  • Background in capacity planning & cost optimization for GPU-heavy environments
What we offer:

Competitive compensation, equity options, and comprehensive benefits

Additional Information:

Job Posted:
March 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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