Summary: Seeking a Senior DevOps Engineer to drive implementation, automation, and optimization of Kubernetes-based orchestration platforms and manage Linux infrastructure for advanced AI. Highlights: 1. Drive implementation & optimization of Kubernetes-based orchestration platforms 2. Manage Linux infrastructure supporting advanced AI & research initiatives 3. Leverage deep expertise in Kubernetes administration & automation We are seeking a highly skilled **Senior DevOps Engineer** to join EPAM’s delivery team. In this role, you will drive the implementation, automation and optimization of Kubernetes\-based orchestration platforms, including Volcano for GPU\-enabled workloads, and manage the Linux infrastructure supporting advanced AI and research initiatives. You will leverage deep expertise in Kubernetes administration, workload scheduling, quota management and automation using Python and Shell scripting to deliver efficient, reliable and scalable compute environments in a client\-facing, delivery\-focused setting. **Responsibilities** * Deploy, configure and maintain GPU\-enabled Kubernetes clusters and standalone Linux compute environments to ensure optimal workload scheduling and performance * Implement and manage Volcano job scheduling, including queue setup, POD execution, GPU allocation and namespace quota enforcement * Administer Kubernetes environments end\-to\-end, including namespaces, RBAC, resource quotas and workload isolation strategies * Develop and maintain automation scripts in Python and Shell to streamline job submission, resource provisioning and system reporting * Collaborate with orchestration, optimization and observability teams to improve scheduling efficiency, capacity utilization and researcher workflows * Monitor infrastructure health and resource utilization, providing feedback and data to support optimization and reporting requirements * Identify and recommend improvements to infrastructure, tooling and automation workflows to enhance performance, scalability and usability * Ensure operational processes deliver a seamless and efficient experience for researchers in diverse AI and computational workloads **Requirements** * Minimum 3 years of experience in DevOps or infrastructure engineering roles with complex large\-scale environments * Expert proficiency in Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS and resource quota management * Hands\-on experience with Volcano scheduler for GPU job execution, queue configuration and workload prioritization with Kubernetes integration * Proven experience managing GPU cluster environments in Kubernetes and on standalone Linux compute nodes * Advanced Python scripting skills for infrastructure automation and 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 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