Lead HPC SRE & AI Automation Engineer

EPAM Systems Inc; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems Inc. is seeking an engineer with HPC and site-reliability experience to maintain a growing multi-cloud AI infrastructure. You will troubleshoot complex issues across compute, accelerators, storage, and networking, and turn findings into automated remediation with safety checks.

Prior experience with AI agents is a plus. Responsibilities include building understanding of multi-cloud HPC architecture, proactive problem detection, end-to-end diagnostics, and developing repeatable

Qualifications

• Production HPC experience required.
• Experience with GPU/accelerator clusters or large-scale distributed compute.
• Strong Linux and networking debugging skills.
• Experience writing automation in Python or Go and ownership of incidents.

Responsibilities

• Build understanding of multi-cloud HPC architecture and keep it current as infrastructure evolves.
• Proactively identify reliability and performance problems by correlating logs, metrics, and events across clouds.
• Diagnose complex end-to-end issues across Linux, containers, schedulers, storage, networking, and accelerators.
• Turn investigations into repeatable tooling and agent-enabled workflows with safe automated remediation.
• Improve observability and monitoring and translate incident lessons into durable fixes.

Skills

HPC operations

Linux administration

Networking

Observability

Automation

Python

Go

Incident investigation

Tools

Prometheus

Grafana

OpenTelemetry

Logging systems

Job description

EPAM Systems Inc. is seeking an engineer with HPC and site-reliability experience to maintain a growing multi-cloud AI infrastructure. You will troubleshoot complex issues across compute, accelerators, storage, and networking, and turn findings into automated remediation with safety checks.

Prior experience with AI agents is a plus. Responsibilities include building understanding of multi-cloud HPC architecture, proactive problem detection, end-to-end diagnostics, and developing repeatable