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 extending our delivery team with a Middle DevOps Engineer to support stable Kubernetes and Linux foundations for AI and research workloads. You will optimize GPU scheduling using Kubernetes and Volcano, enforce quotas, and automate workflows with Python and Bash in a client-facing setting. Apply today to help scale high-performance compute platforms

Responsibilities

Operate and support GPU-capable Kubernetes clusters and standalone Linux compute environments to maintain efficient scheduling and performance

Configure and maintain Volcano job scheduling, covering queue setup, POD execution, GPU allocation, and namespace quota enforcement

Manage Kubernetes administration end-to-end, including namespaces, RBAC, resource quotas, and workload isolation approaches

Create and evolve Python and Shell automation to reduce friction in job submission, resource provisioning, and system reporting

Coordinate with orchestration, optimization, and observability teams to boost scheduling efficiency, capacity utilization, and researcher workflows

Track platform health and resource consumption, sharing metrics and feedback to satisfy optimization and reporting needs

Suggest upgrades to infrastructure, tooling, and automation workflows to enhance performance, scalability, and usability

Support researchers by ensuring a smooth operational experience across 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