EPAM Systems

Senior HPC DevOps Engineer

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SeniorZdalnie·PoznańFull-time

#452443·Dodano 19 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

HPCAWSGPUMPIOpenMPSLURMApptainerNCCLDockerLustre

Podsumowanie oferty

The Senior HPC DevOps Engineer will work on scaling, reliability, and automation of a high-performance computing (HPC) and machine learning operations (MLOps) platform within the Science, Innovation & Labs team. The role involves guiding users, managing infrastructure capacity, maintaining automated pipelines, and collaborating with engineering and developer experience teams. Responsibilities include deploying containerized HPC workloads on cloud infrastructure and monitoring GPU utilization.

Wymagania

5+ years of experience in HPC or DevOps engineering roles
Knowledge of MPI, OpenMP, and multi-node GPU communication protocols including NCCL and GPUDirect
Proven experience managing AWS GPU instance families (P-series, G-series, Tranium/Inferentia)
Hands-on mastery of AWS Capacity Blocks for ML, On-Demand Capacity Reservations (ODCRs), and Service Quota management
Experience deploying containerized environments using Apptainer/Singularity, Docker, or Enroot
Understanding of I/O performance bottlenecks with distributed file systems such as Lustre, GPFS, BeeGFS, or AWS FSx for Lustre
Hands-on skill profiling applications with tools like NVIDIA Nsight
Experience deploying or scaling HPC workloads on cloud infrastructure using EFA, ParallelCluster, and parallel storage solutions
Proficiency in English at B2+ level

Obowiązki

Guide scientists and data teams in using the platform UI for self-service workloads
Advise users on infrastructure capacity optimization regarding cost, quotas, and resource availability
Maintain automated pipelines for infrastructure provisioning and platform deployments
Resolve technical queries on job scheduling, cluster bottlenecks, and resource quotas
Collaborate with developer experience teams to improve documentation
Collaborate with engineering teams to monitor GPU utilization with tools like CloudWatch and Prometheus
Manage AWS GPU instance families and allocate compute resources for large-scale ML pipelines
Ensure compute availability through capacity planning and reservation management
Deploy containerized environments tuned for HPC and GPU pass-through
Deploy and scale HPC workloads on cloud infrastructure using parallel storage and networking

Benefity

Work with top tech minds in AI, cloud, and digital platform modernization
Supportive and agile, startup-like culture
Hybrid by design with remote work opportunity within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs and certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay and participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package including health insurance, multisport, shopping vouchers
Referral bonuses up to $2,000
Offices with entertainment, relaxation zones, free snacks, and coffee
Corporate, social, and well-being events

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Darmowe przekąski

Napoje w biurze

Premie

Inne informacje

By clicking “Apply” or submitting an application, candidates consent to the processing of their personal data by EPAM Systems (Poland) sp. z o.o. for recruitment purposes according to the Privacy Policy. Benefits listed are available to employees only. The company is open to working with Contractors under individually agreed B2B cooperation agreements. Only selected candidates will be contacted.

EPAM Systems

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