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AI Reliability Engineer, HPC

Microsoft· Software Engineering
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London£93.5k - £161.8kFull-timePosted 2w ago

About the role

Experienced AI Reliability Engineer to join Microsoft’s High Performance Computing (HPC) infrastructure team. Blend software and systems engineering to keep large-scale distributed AI infrastructure reliable and efficient with very high uptimes.

Responsibilities

  • 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.

Qualifications

  • Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering OR equivalent experience

Skills

Required:KubernetesDockerCloud platforms (Azure/AWS/GCP)Monitoring/Observability toolsProgramming/Scripting
Nice to have:Distributed systems / Networking / Storage / HPCGPU clusters managementML training/inference pipelinesCapacity planning / cost optimization
Last updated Oct 9, 2026. Interested? Apply on the company site.

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