Lead HPC Kubernetes Engineer

EPAM Systems; Polska; Hybrid; PLN 210,000 - 320,000; Full time

Benefits offered by this job

Hybrid by design

Remote work within Poland

Relocation support

Employee stock purchase plan

Health insurance

Multisport

Vouchers

Job summary

EPAM Systems is seeking a Lead HPC Kubernetes Engineer to build and manage large HPC clusters across AWS, CoreWeave, GCP, and more, spanning thousands of GPUs now and scaling in 2026+. The role centers on Kubernetes-heavy multi-cloud platform infrastructure and reliable upgrades.

You will own cluster lifecycles, CI/CD provisioning, and GPU scheduling, while collaborating with networking, storage, security, and AI/ML teams. Hybrid work, with remote options within Poland.

Qualifications

• 5+ years of experience in infrastructure engineering, cloud platforms, or HPC.
• Expertise in Kubernetes, with hands-on scale operations and upgrades.
• Proficiency in Terraform for IaC daily use.
• Working knowledge of AWS services (EC2, S3, EFS, FSx for Lustre).
• Python skills for tooling and automation.
• English proficiency at B2 level or higher.

Responsibilities

• Operate Kubernetes platforms (EKS, CKS, GKE) at scale across providers.
• Own cluster lifecycle, node pool management, networking policy, and stability.
• Provision HPC infrastructure via CI/CD across AWS, CoreWeave, GCP, OCI.
• Manage job scheduling to allocate GPU compute for training/inference.
• Define and maintain SLIs/SLOs and build monitoring/alerts.
• Participate in severity responses and post-incident reviews.
• Coordinate daily with Networking, Storage, Security, and AI/ML teams.

Skills

Kubernetes

Terraform

AWS

Python

English (B2)

Tools

Kubernetes platforms management

Job description

We are seeking a Lead HPC Kubernetes Engineer to help our customer develop and manage several HPC clusters across AWS, CoreWeave, GCP, and other providers, spanning several thousand GPUs today and scaling to 10x in 2026 and beyond. This role is Kubernetes-heavy, operating multi-cloud platform infrastructure where misconfigurations or failed upgrades translate directly into thousands of lost GPU-hours, at a scale where novel failure modes are routine.

Responsibilities

• Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers
• Take ownership of cluster lifecycle, node pool management, networking policy, and stability maintenance during rapid growth
• Provision HPC infrastructure through CI/CD systems across AWS, CoreWeave, GCP, and OCI, with additional providers to be added in the near future
• Manage job scheduling to allocate GPU compute across training and inference workloads
• Define and maintain SLIs/SLOs
• Build monitoring and alerting systems
• Participate in severity escalation response and author post-incident reviews
• Coordinate daily with Networking, Storage, Security, and AI/ML platform teams

Requirements

• 5+ years of experience in infrastructure engineering, cloud platforms, or HPC
• Expertise in Kubernetes, with hands-on experience operating clusters at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets
• Proficiency in Terraform for writing and reviewing infrastructure-as-code daily
• Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre)
• Skills in Python for tooling and automation
• English proficiency at B2 level or higher

Nice to have

• Familiarity with Google Kubernetes Engine
• Familiarity with Amazon Elastic Kubernetes Service
• Knowledge of Google Cloud Platform

We offer

• We gather like-minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
• We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well-being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
• We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well-being events
• Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.