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 protected 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.

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