Senior HPC Reliability Engineer for Multi-Cloud AI

EPAM Systems Inc; Newtown (PA); Remote; USD 155,000 - 175,000; Full time

Benefits offered by this job

Medical Insurance

Health Savings Account

Flexible Spending Accounts

Disability Insurance

Life Insurance

Employee Assistance Program

LinkedIn Learning

401(k) Matching

Paid Time Off

Paid Holidays

Legal Plan

Identity Theft Protection

Pet Insurance

Employee Stock Purchase Program

Performance Bonus

Job summary

EPAM Systems, Inc. is seeking an experienced engineer to own the reliability of a multi-cloud HPC AI infrastructure. You will investigate hard operational problems across compute, accelerators, storage, and networking, and translate findings into automated remediation with safe AI-powered agent workflows.

Success comes from deep production experience with HPC, GPUs, and distributed systems, plus the ability to strengthen observability and drive durable fixes across teams and clouds.

Qualifications

• Production HPC or large-scale distributed compute experience in reliability-focused engineering.
• Strong Linux and networking debugging across containers, storage I/O, DNS and authentication.
• Ability to correlate telemetry across cloud environments using multiple tools rather than a single dashboard.
• Automation coding in Python or Go and ownership of complex production investigations to final fixes.

Responsibilities

• Understand multi-cloud HPC architecture and keep it current as infrastructure evolves.
• Proactively identify reliability and performance issues by correlating logs, metrics and events.
• Diagnose end-to-end across Linux hosts, containers, schedulers, and accelerators to root cause.
• Develop repeatable tooling and agent workflows for safe detection, diagnosis and remediation.
• Improve observability and monitor automation effectiveness with cross-team collaboration.

Skills

HPC operations

Linux networking

Telemetry correlation

Automation in Python/Go

Tools

Prometheus

Grafana

OpenTelemetry

Centralized logging

Job description

EPAM Systems, Inc. is seeking an experienced engineer to own the reliability of a multi-cloud HPC AI infrastructure. You will investigate hard operational problems across compute, accelerators, storage, and networking, and translate findings into automated remediation with safe AI-powered agent workflows.

Success comes from deep production experience with HPC, GPUs, and distributed systems, plus the ability to strengthen observability and drive durable fixes across teams and clouds.