DevOps Engineer

We are hiring a Middle DevOps Engineer to run Kubernetes GPU orchestration with Volcano and keep Linux compute platforms stable for AI and research teams. You will automate day-to-day operations with Python and UNIX shell scripting, tune scheduling and quotas, and work in a client-facing delivery setup. Apply now to help build efficient, dependable compute infrastructure

Responsibilities

• Provision and support GPU-capable Kubernetes clusters plus independent Linux compute nodes to maximize scheduling effectiveness and system performance
• Operate Volcano scheduling by configuring queues, controlling POD lifecycle, allocating GPU resources, and applying namespace quota controls
• Maintain Kubernetes environments by managing namespaces, RBAC, resource quotas, and workload isolation mechanisms
• Automate operational workflows by writing and updating Python and Shell scripts for job submission, resource allocation, and monitoring
• Partner with orchestration, optimization, and observability teams to improve scheduling performance, utilization, and researcher outcomes
• Analyze and report on infrastructure health and resource usage to drive continuous optimization
• Implement upgrades to infrastructure, tooling, and automation to improve scalability, performance, and user experience
• Assist with operational processes that ensure researchers have an effective environment for AI and computational projects

Requirements

• Hands-on background of 2+ years in DevOps or infrastructure engineering for complex, large-scale environments
• Strong knowledge of Kubernetes operations, including namespaces, POD placement and balancing, PVC, NFS, and resource quota management
• Practical experience operating Volcano for GPU workloads, including queue creation, priority handling, and Kubernetes integration
• Demonstrated experience managing GPU clusters across Kubernetes and standalone Linux setups used for high-performance computing
• Advanced ability in Python scripting to automate infrastructure tasks, job processing, and monitoring workflows
• Solid command of UNIX Shell scripting (Bash or similar) to automate system routines and improve operations
• Strong Linux administration skills with troubleshooting, performance tuning, and configuration management experience
• Deep understanding of automation and orchestration concepts and tools for reliable, scalable infrastructure
• Excellent English communication skills (spoken and written) for direct interaction with clients and cross-functional teams

Nice to have

• Helm experience for Kubernetes application packaging and releases
• Observability knowledge with Prometheus, Grafana, and Loki for infrastructure monitoring
• Terraform familiarity for Infrastructure as Code and cloud resource automation
• Experience with Amazon EKS and Google GKE in multi-cloud Kubernetes setups
• Azure networking skills including VPN, ExpressRoute, and network security
• Use of AI coding assistants such as GitHub Copilot, ChatGPT, and Claude to boost code quality and productivity
• Knowledge of hybrid scheduling and optimization across cloud and on-premises compute

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