Senior CORA HPC DevOps Engineer

EPAM Systems; Turkey; On-site; TRY 3,958,000 - 5,938,000; Full time

Benefits offered by this job

Continuous upskilling

Private health insurance

Referral bonuses

Job summary

EPAM Systems seeks a Senior CORA HPC DevOps Engineer to lead scaling, reliability, and automation of the CORA platform for AWS HealthOmics. You will guide scientists in using the CORA UI and optimize reserved vs on-demand capacity for large-scale ML workloads.

You will maintain CI/CD pipelines, address job scheduling issues, and collaborate with engineering teams to monitor GPU utilization and performance across multi-node clusters using MPI, NCCL, and cloud HPC tools.

Qualifications

• 3+ years of experience in HPC DevOps or similar roles.
• Experience with MPI, OpenMP, and multi-node GPU communication.
• Experience managing AWS GPU instances (P-series, G-series) and ML pipelines.
• Expertise in capacity planning with AWS Capacity Blocks, ODCRs, and Service Quota management.
• Proficient in deploying containerized HPC environments (Apptainer/Singularity, Docker, Enroot).
• Understanding of I/O bottlenecks with Lustre, GPFS, or BeeGFS.
• Skilled in profiling with NVIDIA Nsight.
• Experience deploying/scaling HPC workloads on cloud using EFA, ParallelCluster, FSx for Lustre.
• English proficiency at least B1+.

Responsibilities

• Guide scientists and data teams in CORA UI to run self-service workloads.
• Advise users and manage capacity across reserved vs on-demand compute to optimize cost.
• Sustain automated CI/CD pipelines for infrastructure provisioning and platform deployments.
• Provide Tier-2/3 support for job scheduling failures and resource quotas.
• Collaborate with engineering teams to improve platform documentation.
• Monitor GPU utilization and refine multi-node scheduling to reduce idle time.

Skills

HPC DevOps

MPI

OpenMP

NCCL

GPUDirect

Capacity planning

ODCRs

Service Quota

Apptainer/Singularity

Docker

Enroot

Lustre

GPFS

BeeGFS

NVIDIA Nsight

EFA

ParallelCluster

FSx for Lustre

English (B1+)

Education

Bachelor's degree in a relevant field

Tools

Docker

Apptainer/Singularity

Singularity/Apptainer

Enroot

NVIDIA Nsight

FSx for Lustre

ParallelCluster

AWS Capacity Blocks

Job description

We are looking for a Senior CORA HPC DevOps Engineer to lead the scaling, reliability, and automation of HPC CORA — the designated high-performance computing (HPC) and machine learning operations (MLOps) platform for Science, Innovation & Labs.EPAM Collaborative Omics Research Accelerator (CORA) for AWS HealthOmics equips life science and healthcare organizations with an intuitive, secure, and GxP-ready environment to analyze and correlate omics data, utilizing AWS HealthOmics capabilities such as multiomic and multimodal analysis, population sequencing, and fully managed bioinformatics computation. Built for bioinformaticians, lab and bench scientists, and clinical providers, EPAM CORA offers a collaborative and extensible environment that democratizes access to high-performance omics computations.ResponsibilitiesGuide scientists and data teams in navigating and leveraging the CORA user interface (UI) effectively, allowing them to execute self-service workloads without direct infrastructure frictionAdvise users and oversee infrastructure capacity across capacity blocks (reserved GPU/CPU capacity) versus on-demand usage, optimizing cost, quotas, and resource availability for heavy workloadsSustain automated CI/CD pipelines for infrastructure provisioning and platform service deploymentsDeliver Tier-2/3 support and troubleshooting for technical queries related to job scheduling failures, cluster bottlenecks, and resource quotasWork with developer experience teams to enhance platform documentationTeam up with engineering groups to monitor GPU utilization (e.g., via CloudWatch/Prometheus) to reduce idle time, right-size clusters, and refine multi-node job schedulingRequirements3+ years of experience in HPC DevOps or similar engineering rolesKnowledge of MPI, OpenMP, and multi-node GPU communication protocols (NCCL, GPUDirect)Background in managing AWS GPU instance families (P-series, G-series, Trainium/Inferentia) and allocating block compute for large-scale ML training and inference pipelinesExpertise in capacity planning and reservation using AWS Capacity Blocks for ML, On-Demand Capacity Reservations (ODCRs), and Service Quota management to secure compute availabilitySkills in deploying containerized environments tuned for HPC and GPU pass-through using Apptainer/Singularity, Docker, or EnrootUnderstanding of I/O performance bottlenecks when working with distributed file systems such as Lustre, GPFS, or BeeGFSProficiency in profiling applications with NVIDIA Nsight or similar tools to identify memory and compute bottlenecksCompetency in deploying or scaling HPC workloads on cloud infrastructure leveraging EFA, ParallelCluster, and parallel storage (FSx for Lustre)Intermediate English proficiency (B1+ level)Nice to haveFamiliarity with AWS Compute servicesBackground in building and maintaining CI/CD workflowsWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.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.