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Platform Architect - HPC, Kubernetes

Role overview

Qualifications

  • 7+ years of experience in infrastructure engineering, cloud platforms or HPC
  • Expertise in Kubernetes at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets
  • Proficiency in Python for production-grade tools
  • Proficiency in Terraform for writing and reviewing infrastructure as code daily

Responsibilities

  • Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale, including cluster lifecycle, node pool management, networking policy, and stability during rapid growth
  • Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP and OCI, with more providers coming
  • Management of job scheduling to allocate GPU compute across training and inference workloads
  • Definition and maintenance of SLIs/SLOs, build monitoring and alerting, and participation in incident response and post-incident reviews

Key facts

Hard skills

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
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.

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Job description

We are seeking a Platform Architect to support a customer that develops and manages several HPC clusters across AWS, CoreWeave, GCP and other providers, operating several thousand GPUs today and scaling 10x. This role is Kubernetes-heavy and requires strong software engineering skills, operating multi-cloud platform infrastructure where misconfigurations or failed upgrades cost thousands of GPU-hours. Responsibilities Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale, including cluster lifecycle, node pool management, networking policy, and stability during rapid growth Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP and OCI, with more providers coming Management of job scheduling to allocate GPU compute across training and inference workloads Definition and maintenance of SLIs/SLOs, build monitoring and alerting, and participation in incident response and post-incident reviews Development of tooling and automation in production-quality code Coordination daily with the Networking, Storage, Security and AI/ML platform teams Requirements 7+ years of experience in infrastructure engineering, cloud platforms or HPC Expertise in Kubernetes at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets Proficiency in Python for production-grade tools, not only scripts Proficiency in Terraform for writing and reviewing infrastructure as code daily Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre) English proficiency at B2 level or higher Nice to have Familiarity with Amazon Elastic Kubernetes Service, Google Kubernetes Engine, Google Cloud Platform Background in High-performance computing (HPC), Slurm, Lustre, Amazon FSx Skills in Go, Rust, C++ Familiarity with CI/CD

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