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 Kubernetes-based orchestration platforms for AI and research initiatives. 2. Implement and manage Volcano for GPU-enabled workloads. 3. Leverage Python and Shell scripting for automation and optimization. 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 Linux infrastructure for 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, ensuring 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, workload prioritization, and integration with Kubernetes * Proven experience managing GPU cluster environments both in Kubernetes and on standalone Linux compute nodes * Advanced Python scripting skills for infrastructure automation plus proficiency in UNIX Shell scripting (e.g., 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** * Helm package management for Kubernetes applications * Monitoring and observability solutions particularly Prometheus Grafana and Loki * Infrastructure as Code tools such as Terraform * Multi\-cloud Kubernetes experience (Amazon EKS Google GKE) * Azure Networking skills 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