Lead HPC Kubernetes Engineer

EPAM is a 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, the company empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 5+ years of experience in infrastructure engineering, cloud platforms, or HPC
• Expertise in Kubernetes with hands-on experience operating clusters at scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades
• Proficiency in Terraform for infrastructure-as-code
• Working knowledge of AWS services including EC2, S3, EFS, and 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

• 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
• Manage job scheduling to allocate GPU compute for 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

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