Lead Hpc Site Reliability Engineer

Lead high-performance computing reliability across multi-cloud AI infrastructure, using Linux, observability, and automation to keep complex systems efficient. Investigate operational problems spanning compute, accelerators, scheduling, storage, and networking.As a Lead HPC Systems Engineer, you will understand production infrastructure and learn unfamiliar systems quickly. You will correlate telemetry across cloud providers, diagnose failures end to end, and create safe automated remediation. Python or Go, Prometheus, Grafana, OpenTelemetry, and centralized logging support this work.Key Responsibilities:
Maintain current understanding of multi-cloud HPC architectureCorrelate logs, metrics, and events across cloud providersDiagnose Linux, container, scheduler, storage, networking, and accelerator issuesBuild agent-enabled detection, diagnosis, and bounded remediation workflowsMeasure automation accuracy, recovery time, recurrence, and false positivesRequirements:
Production HPC, accelerator cluster, or distributed compute operations experienceStrong Linux and networking debugging skillsExperience correlating telemetry across multiple cloud environmentsAutomation experience with Python or GoOwnership of investigations through verified lasting fixesApply HPC operations, site reliability, observability, and safe automation expertise to strengthen multi-cloud AI infrastructure.
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