We are scaling our delivery capability with a Middle DevOps Engineer focused on resilient Kubernetes and Linux infrastructure for AI and research workloads. You will run and automate GPU scheduling with Kubernetes and Volcano, enhance quotas and workflows, and script in Python and Bash while engaging with clients. Apply now to build efficient compute operations at scale

Responsibilities

• Support and operate GPU-enabled Kubernetes clusters and standalone Linux compute environments to keep scheduling and performance efficient
• Deliver and maintain Volcano job scheduling, including queue setup, POD execution, GPU allocation, and namespace quota enforcement
• Handle Kubernetes administration end-to-end, covering namespaces, RBAC, resource quotas, and workload isolation approaches
• Implement Python and Shell automation to simplify job submission, resource provisioning, and system reporting
• Work with orchestration, optimization, and observability teams to increase scheduling efficiency, capacity utilization, and researcher workflows
• Review platform health and resource usage, sharing data and feedback to meet optimization and reporting needs
• Drive recommendations for infrastructure, tooling, and automation workflow improvements to boost performance, scalability, and usability
• Ensure researchers have a smooth experience running diverse AI and computational workloads through reliable operations

Requirements

• Hands-on experience with 2+ years in DevOps or infrastructure engineering roles supporting complex, large-scale environments
• Expert-level knowledge of Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management
• Practical experience with Volcano scheduler for GPU job execution, queue configuration, workload prioritization, and Kubernetes integration
• Proven background managing GPU cluster environments in Kubernetes and on standalone Linux compute nodes
• Advanced scripting skills in Python for infrastructure automation plus proficiency with UNIX Shell scripting (e.g., Bash)
• Strong Linux system administration capability, 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

• Helm for Kubernetes application package management
• Monitoring and observability tooling, especially Prometheus, Grafana, and Loki
• Infrastructure as Code tools such as Terraform
• Multi-cloud Kubernetes exposure, including Amazon EKS and Google GKE
• Azure Networking knowledge, including VPN, ExpressRoute, and network security
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Claude)
• Experience with hybrid (cloud + 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