EPAM Systems

Senior HPC DevOps Engineer

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SeniorZdalnie·WrocławFull-time

#452441·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

AWSHPCMPINCCLGPUDirectSLURMEFAApptainer

Podsumowanie oferty

The Senior HPC DevOps Engineer will work within the Science, Innovation & Labs team focusing on the scaling, reliability, and automation of a high-performance computing (HPC) and machine learning operations (MLOps) platform. The role involves managing infrastructure, advising users, maintaining automated pipelines, and ensuring availability for large-scale ML training and inference workloads. Collaboration with teams to improve documentation and monitor GPU utilization are also key responsibilities.

Wymagania

5+ years of experience in HPC or DevOps engineering roles
Knowledge of MPI, OpenMP, and multi-node GPU communication protocols such as NCCL and GPUDirect
Proven experience managing AWS GPU instance families including 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 like Lustre, GPFS, BeeGFS, or AWS FSx for Lustre
Hands-on skill in profiling applications using NVIDIA Nsight or similar tools for memory and compute bottlenecks
Experience deploying or scaling HPC workloads on cloud infrastructure utilizing EFA, ParallelCluster, and parallel storage (FSx for Lustre)
Proficiency in English at B2+ level

Obowiązki

Guide scientists and data teams in using the platform user interface (UI) for self-service workloads
Advise users and manage infrastructure capacity optimizing cost and resource availability
Maintain automated pipelines for infrastructure provisioning and platform service deployments
Resolve technical queries related to job scheduling failures, cluster bottlenecks, and resource quotas
Collaborate with developer experience teams to improve documentation
Collaborate with engineering teams to monitor GPU utilization using tools such as CloudWatch or Prometheus
Manage AWS GPU instance families and allocate block compute for ML workloads
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 utilizing parallel storage and networking solutions

Benefity

Opportunity to work in a team driving innovation in AI, cloud, and digital platform modernization
Hybrid work mode and remote work within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs including certification and English classes
Stable pay and employee stock purchase plan with 15% discount
Benefits package including health insurance, multisport, and shopping vouchers
Referral bonuses up to $2,000
Office entertainment and relaxation zones with free snacks and coffee
Corporate, social, and well-being events
Open for cooperation with Contractors under individually agreed B2B terms

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Premie

Darmowe przekąski

Napoje w biurze

Inne informacje

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice

EPAM Systems

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