Remote HPC Systems Engineer: AI-Driven Ops & Reliability

EPAM Systems Inc; McLean (VA); Remote; USD 155,000 - 175,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts (Healthcare

Short-Term & Long-Term Disability

Life and AD&D Insurance

Employee Assistance Program

LinkedIn learning access

401(k) with match

Paid Time Off 15–25 days

Paid Holidays 9

Legal Plan

Identity Theft Protection

Accident Insurance

Employee Discounts

Pet Insurance

Employee Stock Purchase Program

Potential discretionary bonus

Long-Term Incentive Program

Job summary

EPAM Systems Inc. is seeking an engineer with HPC and SRE experience to ensure reliability of a multi-cloud AI infrastructure.

You will investigate operational problems across compute, accelerators, scheduling, storage, and networking, and translate findings into proactive detection and automated remediation, including AI-powered agents. Success requires rapid learning of HPC production behavior and readiness to expand skills across unfamiliar systems.

Qualifications

• Production HPC or large-scale distributed compute experience required.
• Strong Linux and networking debugging across processes, containers, storage I/O, DNS, connectivity, and auth.
• Ability to correlate telemetry from multiple cloud environments using Prometheus, Grafana, OpenTelemetry or centralized logging.
• Proven ability to own complex production investigations from symptom to root cause with a lasting fix using Python or Go.

Responsibilities

• Build understanding of multi-cloud HPC architecture and keep it current as infrastructure evolves.
• Proactively find reliability and performance issues by correlating logs, metrics, and events across clouds.
• Diagnose end-to-end across Linux hosts, containers, schedulers, and accelerators to isolate root causes.
• Develop repeatable tooling and agent-enabled workflows for detection, diagnosis and bounded remediation with safety checks.
• Improve observability and track automation effectiveness with metrics and post-change verification.

Skills

HPC operations

Linux networking

Telemetry correlation

Python or Go automation

Tools

Prometheus

Grafana

OpenTelemetry

Job description

EPAM Systems Inc. is seeking an engineer with HPC and SRE experience to ensure reliability of a multi-cloud AI infrastructure.

You will investigate operational problems across compute, accelerators, scheduling, storage, and networking, and translate findings into proactive detection and automated remediation, including AI-powered agents. Success requires rapid learning of HPC production behavior and readiness to expand skills across unfamiliar systems.