Senior DevOps Engineer

Responsibilities

• Deploy, configure, and manage GPU-enabled Kubernetes clusters and standalone Linux compute environments to ensure optimal performance and workload scheduling
• Implement and administer Volcano job scheduling, including queue configuration, POD execution, GPU allocation, and namespace quota enforcement
• Oversee end-to-end Kubernetes environments, including namespaces, RBAC, resource quotas, and workload isolation strategies
• Develop and maintain automation scripts using Python and Shell to streamline job submission, resource provisioning, and system reporting
• Collaborate with orchestration, optimization, and observability teams to enhance scheduling efficiency, capacity utilization, and researcher workflows
• Monitor the health and resource utilization of infrastructure, providing insights and data to support optimization and reporting requirements
• Identify and recommend improvements for infrastructure, tooling, and automation workflows to enhance scalability, usability, and performance
• Ensure seamless operational processes to deliver efficient experiences for researchers working on diverse AI and computational workloads

Requirements

• At least 3 years of experience in DevOps or infrastructure engineering roles within large-scale, complex environments
• Advanced proficiency in Kubernetes administration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management
• Hands-on experience with Volcano scheduler, including GPU job execution, queue configuration, workload prioritization, and Kubernetes integration
• Proven experience managing GPU cluster environments, both within Kubernetes and on standalone Linux compute nodes
• Advanced Python scripting skills for automating infrastructure tasks, along with strong UNIX Shell scripting expertise (e.g., Bash)
• Strong Linux system administration skills, including troubleshooting, performance tuning, and configuration management
• Solid understanding of infrastructure automation and orchestration concepts and tools
• Fluent English skills, both written and spoken, at B2+ level or higher

Nice to have

• Experience with Helm package management for Kubernetes applications
• Knowledge of monitoring and observability tools, including Prometheus, Grafana, and Loki
• Familiarity with Infrastructure as Code tools such as Terraform
• Multi-cloud Kubernetes experience across platforms like Amazon EKS and Google GKE
• Understanding of Azure networking concepts, including VPN, ExpressRoute, and network security
• Experience with AI-assisted coding tools such as GitHub Copilot, ChatGPT, or Claude
• Knowledge of hybrid environments combining cloud and on-premises resource scheduling and optimization

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• 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

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering, Information Technology, and Business Development
• Industries: Software Development, IT Services and IT Consulting, and Technology, Information and Internet