Lead high-performance computing reliability across multi-cloud AI infrastructure, using Linux, observability, and automation to keep complex systems effective. 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 architecture
Correlate logs, metrics, and events across cloud providers
Diagnose Linux, container, scheduler, storage, networking, and accelerator issues




Build agent-enabled detection, diagnosis, and bounded remediation workflows
Measure automation accuracy, recovery time, recurrence, and false positives
Requirements: Production HPC, accelerator cluster, or distributed compute operations experience
Strong Linux and networking debugging skills
Experience correlating telemetry across multiple cloud environments
Automation experience with Python or Go
Ownership of investigations through verified lasting fixes
Apply HPC operations, site reliability, observability, and safe automation expertise to strengthen multi-cloud AI infrastructure.

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📌 Lead HPC Site Reliability Engineer (Manitoba)
🏢 EPAM Systems
📍 Manitoba