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Platform Architect - HPC, Kubernetes

EPAM·Salary not specified

Primary stack

RustKubernetesGoPythonCI/CDC++Amazon S3Google Kubernetes EngineTerraform

Nice to have's

Amazon Elastic Kubernetes ServiceGoogle Kubernetes EngineGoogle Cloud PlatformHigh-performance computing (HPC)SlurmLustreAmazon FSxGoRustC++CI/CD

Job description

About the Position

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

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.

About the Company

[Company description if present]

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