Senior HPC DevOps Engineer

Required skills: HPC, AWS, GPU, MPI, NCCL, GPUDirect, Apptainer, SLURM, Lustre, NVIDIA Nsight We are seeking a Senior HPC DevOps Engineer to join our Science, Innovation & Labs team, responsible for the scaling, reliability, and automation of our high-performance computing (HPC) and machine learning operations (MLOps) platform. Responsibilities Guide scientists and data teams in navigating and utilizing the platform user interface (UI) effectively, helping them run self-service workloads without direct infrastructure friction Advise users and manage infrastructure capacity regarding capacity blocks versus on-demand usage, optimizing cost, quotas, and resource availability for heavy workloads Maintain automated pipelines for infrastructure provisioning and platform service deployments Resolve technical queries regarding job scheduling failures, cluster bottlenecks, and resource quotas Collaborate with developer experience teams to improve documentation Collaborate with engineering teams to monitor GPU utilization via tools such as CloudWatch or Prometheus Manage AWS GPU instance families and allocate block compute for large-scale ML training and inference 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 utilizing parallel storage and networking solutions Requirements 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, and Tranium/Inferentia Hands-on mastery of AWS Capacity Blocks for ML, On-Demand Capacity Reservations (ODCRs), and Service Quota management Experience in deployment of containerized environments using Apptainer/Singularity, Docker, or Enroot Understanding of I/O performance bottlenecks when interfacing 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 to locate 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 a B2+ level We offer We gather like-minded people: 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 We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.