Remote HPC Reliability Engineer for AI-Driven Multi-Cloud

EPAM Systems Inc

San Jose (CA)

Remote

USD 155,000 - 175,000

Full time

3 days ago

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Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts (Healthcare

Short-Term and Long-Term Disability

Life and AD&D Insurance

Employee Assistance Program

LinkedIn learning solutions

401(k) Retirement Savings Plan (match)

PTO 15-25 days depending on level/tenu

Paid Holidays

Legal Plan and Identity Theft Protec

Accident Insurance

Employee Discounts

Stock Purchase Program

Discretionary annual bonus

Discretionary Long-Term Incentive (LTI

Job summary

EPAM Systems, Inc. seeks an engineer with HPC and site-reliability experience to maintain a growing multi-cloud AI infrastructure. You will investigate hard operational problems across compute, accelerators, scheduling, storage and networking, turning findings into proactive detection and safe automated remediation using AI-powered agents.

Applicants should understand HPC production dynamics and rapid learning of unfamiliar systems. AI agent experience is welcome but not required.

Qualifications

Experience operating production HPC, GPU/accelerator clusters, or large-scale distributed compute with reliability focus.

Responsibilities

Understand multi-cloud HPC architecture and keep it current as infrastructure evolves.
Proactively identify reliability and performance issues across cloud providers using logs, metrics and events.
Diagnose complex end-to-end problems across Linux hosts, containers, schedulers, storage, networking and accelerators.
Develop repeatable tooling and agent-enabled workflows for detection, diagnosis and bounded remediation with safety checks.
Improve observability and monitoring, measure automation effectiveness, and collaborate with teams to implement durable fixes.