Join EPAM's delivery team as a **Senior DevOps Engineer**, focusing on hands\-on implementation and optimization of Kubernetes\-based orchestration platforms, including Volcano. You will collaborate closely with engineers and researchers to ensure efficient, scalable infrastructure supporting advanced AI workloads. Apply now to contribute to cutting\-edge client projects and advance your career in a dynamic environment. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. **Responsibilities** * Deploy, configure, and maintain GPU\-enabled Kubernetes clusters and standalone Linux compute environments * 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 and capacity utilization * Monitor infrastructure health and resource utilization providing feedback and data to support optimization and reporting * Identify and recommend improvements to infrastructure, tooling, and automation workflows to enhance performance and scalability * 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, PVC, NFS, and resource quota management * Hands\-on experience with Volcano scheduler for GPU job execution, queue configuration, workload prioritization, and Kubernetes integration * Proven experience managing GPU cluster environments in Kubernetes and 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** * Helm package management for Kubernetes applications * Experience with monitoring and observability solutions such as Prometheus, Grafana, and Loki * Familiarity with Infrastructure\-as\-Code tools like Terraform * Multi\-cloud Kubernetes experience including Amazon EKS and Google GKE * Azure Networking skills including VPN, ExpressRoute, and network security **We offer** * Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*