EPAM Systems

Senior HPC DevOps Engineer

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SeniorZdalnie·KatowiceFull-time

#452448·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

HPCAWSGPUMPINCCLGPUDirectApptainerSLURMLustreNVIDIA Nsight

Podsumowanie oferty

The Senior HPC DevOps Engineer will work on scaling, reliability, and automation of high-performance computing (HPC) and machine learning operations (MLOps) platforms. The role involves guiding scientists and data teams to use the platform effectively, managing infrastructure capacity and optimizing resource allocation for workloads. Responsibilities also include maintaining automated pipelines, resolving technical scheduling issues, and collaborating with teams to monitor GPU utilization and improve documentation.

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 such as Lustre, GPFS, BeeGFS, or AWS FSx for Lustre
Hands-on skill in profiling applications using NVIDIA Nsight or similar tools
Experience deploying or 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 using the platform user interface for self-service workloads
Advise users and manage infrastructure capacity balancing capacity blocks and on-demand usage
Maintain automated pipelines for infrastructure provisioning and platform service deployments
Resolve technical queries on 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 compute for large-scale ML training and inference
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 solutions

Benefity

Opportunity to work with top tech minds in AI, cloud, and digital platform modernization
Supportive team and agile, startup-like culture
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 (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay and participation in Employee Stock Purchase Plan with 15% discount
Benefits package including health insurance, multisport, shopping vouchers
Referral bonuses up to $2,000
Offices with entertainment and relaxation zones, free snacks and beverages
Corporate social and well-being events

Elastyczne godziny

Pakiet relokacyjny

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Opieka zdrowotna

Karta sportowa

Premie

Napoje w biurze

Darmowe przekąski

Inne informacje

Benefits listed are available to employees only. Open to working with contractors with individually agreed B2B terms. Only selected candidates will be contacted.

EPAM Systems

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