Senior CORA HPC DevOps Engineer

We are seeking a Senior CORA HPC DevOps Engineer to drive 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 provides life science and healthcare organizations with a user-friendly, secure, and GxP-ready environment for analyzing and correlating omics data, leveraging AWS HealthOmics features such as multiomic and multimodal analysis, population sequencing, and fully managed bioinformatics computation. Designed for bioinformaticians, lab and bench scientists, and clinical providers, EPAM CORA delivers a collaborative and extensible environment that democratizes access to high-performance omics computations.

Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office. Responsibilities

• Guide scientists and data teams in navigating and utilising the CORA user interface (UI) effectively, enabling them to run self-service workloads without direct infrastructure friction
• Advise users and manage infrastructure capacity across capacity blocks (reserved GPU/CPU capacity) versus on-demand usage, optimising cost, quotas, and resource availability for heavy workloads
• Maintain automated CI/CD pipelines for infrastructure provisioning and platform service deployments
• Provide Tier-2/3 support and troubleshooting for technical queries regarding job scheduling failures, cluster bottlenecks, and resource quotas
• Collaborate with developer experience teams to improve platform documentation
• Partner with engineering teams to monitor GPU utilisation (e.g., via CloudWatch/Prometheus) to minimise idle time, right-size clusters, and optimise multi-node job scheduling

Requirements

• 3+ years of experience in HPC DevOps or similar engineering roles
• Practical knowledge of MPI, OpenMP, and multi-node GPU communication protocols (NCCL, GPUDirect)
• Proven background in managing AWS GPU instance families (P-series, G-series, Trainium/Inferentia) and allocating block compute for large-scale ML training and inference pipelines
• Hands-on expertise in capacity planning and reservation using AWS Capacity Blocks for ML, On-Demand Capacity Reservations (ODCRs), and Service Quota management to ensure compute availability
• Skills in deploying containerised environments tuned for HPC and GPU pass-through using Apptainer/Singularity, Docker, or Enroot
• Understanding of I/O performance bottlenecks when interfacing with distributed file systems such as Lustre, GPFS, or BeeGFS
• Proficiency in profiling applications using NVIDIA Nsight or similar tools to locate memory and compute bottlenecks
• Experience deploying or scaling HPC workloads on cloud infrastructure utilising EFA, ParallelCluster, and parallel storage (FSx for Lustre)
• B1+ English level proficiency

Nice to have

• Familiarity with AWS Compute services
• Background in building and maintaining CI/CD workflows

We offer

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.

Salary range €3.8K-€5.2K gross, based on your experience and interview results. EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Latvia to over 150+ talented innovators in 4 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.