HPC Reliability Engineer for AI-Driven Multi-Cloud Infra

EPAM Systems Inc; Austin (TX); 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

PTO 15–25 days

Paid Holidays

Legal Plan

Identity Theft Protection

Pet Insurance

Employee Stock Purchase Program

Job summary

EPAM Systems Inc. is seeking an engineer with HPC and site-reliability experience to keep a growing multi-cloud AI infrastructure reliable and efficient.

You’ll investigate hard operational problems across compute, accelerators, scheduling, storage, and networking, and turn findings into proactive detection and safe automated remediation. Success comes from understanding HPC in production and rapidly learning unfamiliar systems.

Qualifications

• Operations experience with production HPC, GPU/accelerator clusters, or large-scale distributed compute in a reliability-focused engineering role.
• Strong Linux and networking skills, debugging failures across processes, containers, storage I/O, DNS, connectivity, and authentication.
• Correlates telemetry across multiple cloud environments using tools such as Prometheus, Grafana, OpenTelemetry, or centralized logging, rather than relying on a single dashboard.
• Writes and maintains automation in a language such as Python or Go, and has owned complex production investigations from symptom through root cause to a verified, lasting fix.

Responsibilities

• Build a working understanding of multi-cloud HPC architecture and keep it current as infrastructure changes.
• Find reliability and performance problems proactively by correlating logs, metrics, and events across cloud providers to form a clear incident picture.
• Diagnose complex issues end to end across Linux hosts, containers, schedulers, distributed workloads, storage, networking, and accelerators, isolating root cause.
• Turn investigations into repeatable tooling and agent-enabled workflows for detection, diagnosis, and bounded remediation with safety checks.
• Strengthen observability and monitoring and partner with teams to turn incident lessons into durable fixes.

Skills

HPC operations

Linux

Networking

Prometheus

Grafana

OpenTelemetry

Automation (Python/Go)

Tools

Prometheus

Grafana

OpenTelemetry

Job description

EPAM Systems Inc. is seeking an engineer with HPC and site-reliability experience to keep a growing multi-cloud AI infrastructure reliable and efficient.

You’ll investigate hard operational problems across compute, accelerators, scheduling, storage, and networking, and turn findings into proactive detection and safe automated remediation. Success comes from understanding HPC in production and rapidly learning unfamiliar systems.