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Lead Platform Engineer/Architect - HPC, Kubernetes

Role overview

Qualifications

  • 10+ years of experience in infrastructure engineering, cloud platforms, or high-performance computing environments
  • Expert-level Kubernetes experience at meaningful scale
  • Advanced Python skills with a track record of building production-grade tools
  • Daily proficiency in Terraform for writing and reviewing infrastructure as code

Responsibilities

  • Operate and scale Kubernetes platforms (EKS, GKE, and other distributions)
  • Provision and manage HPC infrastructure through CI/CD pipelines spanning AWS, CoreWeave, GCP, OCI
  • Design and maintain job scheduling systems that efficiently allocate GPU compute resources
  • Define SLIs/SLOs, build robust monitoring and alerting systems

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

Join a high-growth infrastructure team operating Kubernetes platforms across multiple cloud providers at massive scale. You'll build the systems that power thousands of GPUs, where your code and configurations directly protect thousands of GPU-hours from costly failures. EPAM is where tech talent thrives—building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of problem-solvers to make the future real. Req# 1103823066 Responsibilities Operate and scale Kubernetes platforms (EKS, GKE, and other distributions) including cluster lifecycle management, node pool optimization, and networking policies during periods of rapid growth Provision and manage HPC infrastructure through CI/CD pipelines spanning AWS, CoreWeave, GCP, OCI, and additional cloud providers Design and maintain job scheduling systems that efficiently allocate GPU compute resources across training and inference workloads Define SLIs/SLOs, build robust monitoring and alerting systems, and actively participate in incident response and post-incident reviews Develop production-quality tooling and automation to support multi-cloud infrastructure operations at scale Collaborate daily with Networking, Storage, Security, and AI/ML platform teams to ensure seamless cross-functional infrastructure delivery Requirements 10+ years of experience in infrastructure engineering, cloud platforms, or high-performance computing environments Expert-level Kubernetes experience at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets Advanced Python skills with a track record of building production-grade tools, not just scripts; experience with Go, Rust, or C++ is a strong plus Daily proficiency in Terraform for writing and reviewing infrastructure as code Working knowledge of core AWS services including EC2, S3, EFS, and FSx for Lustre Strong site reliability engineering background with experience building monitoring, alerting, and incident response practices CKA, CKS certificates are highly preferred

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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