EPAM Systems

Senior HPC DevOps Engineer

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SeniorZdalnie·KrakówFull-time

#452436·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

HPCAWSGPUMPINCCLGPUDirectSLURMApptainerEFADocker

Podsumowanie oferty

Join the Science, Innovation & Labs team as a Senior HPC DevOps Engineer responsible for scaling, reliability, and automation of high-performance computing (HPC) and machine learning operations (MLOps) platforms. The role involves capacity planning, managing AWS GPU resources, and deploying containerized HPC workloads on cloud infrastructure. Collaboration with scientists, data teams, and engineering teams to optimize HPC resource usage and system monitoring is key.

Wymagania

5+ years 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, and 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
Skills in profiling applications using NVIDIA Nsight or similar tools
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 to utilize the platform user interface effectively for self-service workloads
Advise users and manage infrastructure capacity 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
Monitor GPU utilization with tools such as CloudWatch and Prometheus
Manage AWS GPU instance families and allocate compute resources for large-scale ML training and inference
Ensure compute availability through capacity planning and reservation management
Deploy containerized environments tailored for HPC and GPU pass-through
Deploy and scale HPC workloads on cloud infrastructure using parallel storage and networking solutions

Benefity

Work with top tech minds focusing on AI, cloud, and digital platform modernization
Supportive and agile startup-like culture with hybrid and remote work options within Poland
Opportunities to work abroad up to 60 days annually
Business-driven relocation opportunities
Career development programs, mentoring, and certification support (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay and participation in Employee Stock Purchase Plan with a 15% discount
Benefits including health insurance, multisport, shopping vouchers
Referral bonuses up to $2,000
Office amenities such as entertainment zones, table tennis, football, 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

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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