DevOps Engineer

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.

We are adding a Middle DevOps Engineer to strengthen Kubernetes and Linux reliability for AI and research compute platforms. You will improve GPU workload orchestration with Kubernetes and Volcano, manage scheduling and quotas, and automate operations with Python and UNIX Shell while working with clients. Apply to help teams run scalable GPU compute smoothly

Responsibilities

Maintain GPU-enabled Kubernetes clusters and standalone Linux compute environments to sustain efficient scheduling and strong performance

Set up and troubleshoot Volcano job scheduling, including queue configuration, POD execution, GPU allocation, and namespace quota enforcement

Oversee Kubernetes administration across the stack, including namespaces, RBAC, resource quotas, and workload isolation approaches

Develop and maintain Python and Shell automation to simplify job submission, resource provisioning, and system reporting

Partner with orchestration, optimization, and observability teams to raise scheduling efficiency, capacity utilization, and researcher workflows

Observe platform health and resource usage, delivering data and feedback to meet optimization and reporting needs

Identify and recommend enhancements to infrastructure, tooling, and automation workflows to improve performance, scalability, and usability

Keep day-to-day operations smooth for researchers running diverse AI and computational workloads

Requirements

Hands-on experience with 2+ years in DevOps or infrastructure engineering roles supporting complex, large-scale environments

Expert-level knowledge of Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management

Practical experience with Volcano scheduler for GPU job execution, queue configuration, workload prioritization, and Kubernetes integration

Proven background managing GPU cluster environments in Kubernetes and on standalone Linux compute nodes

Advanced scripting skills in Python for infrastructure automation plus proficiency with UNIX Shell scripting (e.g., Bash)

Strong Linux system administration capability, including troubleshooting, performance tuning, and configuration management

Solid understanding of infrastructure automation and orchestration concepts and related tooling

Fluent English communication skills (spoken and written) for direct client interaction

Nice to have

Helm for Kubernetes application package management

Monitoring and observability tooling, especially Prometheus, Grafana, and Loki

Infrastructure as Code tools such as Terraform

Multi-cloud Kubernetes exposure, including Amazon EKS and Google GKE

Azure Networking knowledge, 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

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