Lead HPC and Systems Engineer

We are looking for a Lead HPC and Systems Engineer . If you are looking to give your career a real boost with a global leader in digital transformation, EPAM is the perfect choice. Learn more about this position and project by applying now. You will drive the automation and modernization of enterprise infrastructure, supporting Windows Workspaces and Linux HPC environments. High-Performance Computing (HPC) serves as the core engine behind simulation-driven product development, directly impacting time-to-market and engineering productivity while modernizing infrastructure to alleviate existing pain points and deploying into a new AWS account with primary workloads including Ansys, Simulia, ABAQUS, LS-DYNA, and MATLAB. Responsibilities Modernize & Migrate Environments: Spearhead the transition from legacy setups to modern, cloud-native HPC architectures, alleviating operational pain points New Account Deployment: Plan, execute, and deploy scalable HPC and virtual workspace environments in a brand-new cloud account Compute Orchestration & Workspaces: Implement scalable compute orchestration using AWS Parallel Computing Service (PCS) and deliver high-performance remote desktop solutions (Amazon WorkSpaces, NICE DCV on PCS, and GPU visualization capabilities) Job Scheduling & Management: Administer and optimize PBS schedulers (v20.0.1) and implement modern front-end portals such as EF Portal or Open OnDemand for seamless job submission and monitoring Storage Architecture: Manage, optimize, and scale high-performance storage solutions including FSx for Lustre, FSx for Windows, EFS, and NetApp ONTAP Reliability & Elasticity: Design and maintain multi-AZ elastic deployments to ensure high availability and robust performance for engineering workloads Requirements Core Expertise: Proven professional experience as an HPC Engineer with deep expertise in both Windows Workspaces and Linux HPC environments Workload Experience: Hands-on experience supporting and troubleshooting engineering simulation workloads including ANSYS, Abaqus, LS-DYNA, CREO, NX, and MATLAB Cloud & Orchestration: Strong background in AWS services and scalable compute orchestration—specifically Parallel Computing Service (PCS) Schedulers & Portals: Expert knowledge of the PBS scheduler (v20.0.1) and HPC front-end management portals (e.g., NICE EnginFrame, EF Portal, Open OnDemand) Storage & Desktops: Extensive experience configuring and managing FSx for Lustre, FSx for Windows, EFS, and NetApp ONTAP, alongside high-performance remote desktop solutions and GPU visualization capabilities Architecture Design: Demonstrated ability to architect and deploy multi-AZ elastic deployments supporting enterprise R&D environments Nice to have Infrastructure as Code (IaC): Experience with Terraform, AWS CloudFormation, or Ansible for automating HPC cluster deployments and workspace provisioning Containerization & Workflow Management: Familiarity with containers (Docker, Singularity/Apptainer) and workflow orchestration tools (e.g., Nextflow, Snakemake) in HPC environments Cloud Certifications: Relevant AWS certifications (e.g., AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer) Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automating administrative tasks, job monitoring, and telemetry collection Cost Optimization: Experience implementing cloud cost management strategies, auto-scaling policies, and spot instance utilization for large-scale simulation workloads Security & Compliance: Experience setting up secure HPC environments adhering to enterprise compliance standards, IAM policies, and encrypted storage configurations