EPAM Systems

Senior HPC DevOps Engineer

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SeniorZdalnie·ŁódźFull-time

#452444·Dodano 29 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

HPCAWSGPUMPISLURMApptainerEFALustreDocker Prometheus

Podsumowanie oferty

The Senior HPC DevOps Engineer role focuses on managing and scaling high-performance computing and machine learning operations platforms within the Science, Innovation & Labs team. The engineer will optimize resource availability, automate infrastructure provisioning, and support scientists and data teams in using the platform's interface. Responsibilities also include deploying containerized HPC workloads in cloud environments 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 such as NCCL and GPUDirect
Experience managing AWS GPU instance families including P-series, G-series, and Tranium/Inferentia
Mastery of AWS Capacity Blocks, On-Demand Capacity Reservations (ODCRs), and Service Quota management
Experience with containerized environment deployment using Apptainer/Singularity, Docker, or Enroot
Understanding of I/O bottlenecks with distributed file systems such as Lustre, GPFS, BeeGFS, or AWS FSx for Lustre
Proficiency in profiling applications using NVIDIA Nsight or similar tools
Experience deploying and scaling HPC workloads on cloud infrastructure using EFA, ParallelCluster, and parallel storage (FSx for Lustre)
Proficiency in English at B2+ level

Obowiązki

Guide scientists and data teams in effectively using the platform UI to run self-service workloads
Advise and manage infrastructure capacity, optimizing cost, quotas, and resource availability
Maintain automated pipelines for infrastructure provisioning and platform service deployments
Resolve technical issues related to job scheduling failures, cluster bottlenecks, and resource quotas
Collaborate with developer experience teams to improve documentation
Monitor GPU utilization using tools like CloudWatch and Prometheus
Manage AWS GPU instance families and allocate compute resources for ML training and inference
Ensure compute availability through capacity planning and reservation management
Deploy containerized environments optimized for HPC and GPU pass-through
Deploy and scale HPC workloads using parallel storage and networking solutions on cloud infrastructure

Benefity

Work with top tech minds driving innovation in AI, cloud, and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid by design mode and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs
Thought leadership, mentoring, soft skills, and well-being programs
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay
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 and relaxation zones, table tennis, football, free snacks, coffee
Corporate, social, and well-being events

Elastyczne godziny

Kursy językowe

Budżet konferencyjny

Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

Premie

Udziały pracownicze

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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