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EPAM
Open role>1 month

Platform Architect - HPC, Kubernetes

EPAMLatvia; Lithuania
Work model
Remote
Experience
7+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
20 tags

Technology context

20

Parsed from the vacancy text; ordered by relevance to this role.

Node.jsAIAWSMachine LearningPythonGCPKubernetesCloudGoC++TerraformRustSRECI/CDAutomationAmazon FSxGoogle Kubernetes EngineLustrePlatform EngineeringSlurm

Full listing

Role 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