DevOps Engineer

We are enabling dependable GPU compute by operating Kubernetes and Linux platforms focused on Volcano scheduling and automated infrastructure operations. As a Middle DevOps Engineer, you will manage Kubernetes administration, run GPU clusters on Kubernetes and Linux nodes, and create automation with Python and UNIX shell scripting for a client-facing delivery team. Apply to help deliver stable, efficient AI compute environments at scale.

Responsibilities

• Provision, configure, and operate GPU-enabled Kubernetes clusters and standalone Linux compute environments to keep scheduling and performance optimized
• Set up and administer Volcano job scheduling, including queue setup, POD execution, GPU allocation, and namespace quota enforcement
• Own Kubernetes administration across namespaces, RBAC, resource quotas, and workload isolation approaches
• Automate job submission, resource provisioning, and system reporting by creating and maintaining Python and Shell scripts
• Coordinate with orchestration, optimization, and observability teams to raise scheduling efficiency, improve capacity utilization, and streamline researcher workflows
• Observe infrastructure health and resource utilization, supplying data and feedback for optimization and reporting needs
• Improve infrastructure, tooling, and automation workflows to increase performance, scalability, and usability
• Maintain operational processes that provide a smooth and efficient experience for researchers running diverse AI and computational workloads

Requirements

• Hands-on background with 2+ years of experience in DevOps or infrastructure engineering within complex, large-scale environments
• Expertise in Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management
• Practical experience with the Volcano scheduler for GPU job execution, queue configuration, and workload prioritization integrated with Kubernetes
• Proven ability to operate GPU cluster environments in Kubernetes as well as on standalone Linux compute nodes
• Advanced Python scripting skills for infrastructure automation, plus proficiency in UNIX Shell scripting such as Bash
• Strong Linux system administration skills, including troubleshooting, performance tuning, and configuration management
• Solid understanding of infrastructure automation and orchestration concepts and related tooling
• Fluent English communication skills (spoken and written) for direct client interaction

Nice to have

• Knowledge of Helm package management for Kubernetes applications
• Familiarity with monitoring and observability solutions, particularly Prometheus, Grafana, and Loki
• Skills in Infrastructure as Code tools such as Terraform
• Background in multi-cloud Kubernetes environments including Amazon EKS and Google GKE
• Understanding of Azure Networking including VPN, ExpressRoute, and network security
• Familiarity with AI-assisted coding tools such as GitHub Copilot, ChatGPT, and Claude
• Experience with hybrid (cloud and on-premises) scheduling and resource optimization

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn