Lead DevOps Engineer — AI-Driven Automation & Kubernetes

EPAM Systems; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems is seeking a hands-on Senior DevOps & AI Automation Engineer to drive a major replatform from OpenShift to Kubernetes and migrate CI/CD pipelines from Jenkins to Azure DevOps, leveraging AI Agents and Agentic AI frameworks.

You will lead design and implementation of scalable AI-powered workflows, optimize token usage and LLM costs, and collaborate across teams to align DevOps with business goals. Strong Python automation skills and Terraform/Kubernetes expertise are required.

Qualifications

• 3+ years of DevOps experience with Azure and Azure DevOps.
• Hands-on Jenkins experience for CI/CD.
• Proficient in Python automation and scripting.
• Knowledge of Kubernetes and Terraform.
• Familiar with AI Agents and Agentic AI frameworks.
• Token optimization and AI/LLM cost optimization.
• Excellent prompt design and model usage skills.
• Experience with Git, YAML, and shell scripting.
• English proficiency at least B2.

Responsibilities

• Replatform OpenShift to Kubernetes infrastructure.
• Migrate CI/CD pipelines from Jenkins to Azure DevOps with AI automation.
• Design AI workflows for migration, remediation, and validation.
• Utilize AI Agents and Copilot to accelerate DevOps.
• Optimize token usage and AI/LLM costs.
• Develop Python automation scripts for pipelines and infra.
• Collaborate with cross-functional teams to align AI-enabled DevOps with business goals.
• Establish best practices for prompt design and AI workflow orchestration.

Skills

DevOps

Azure

Azure DevOps

Jenkins

Python

Kubernetes

Terraform

GitHub Copilot

AI Agents

Agentic AI

LLM Cost Optimization

Prompt Engineering

LangChain

Semantic Kernel

Git

YAML

Bash/PowerShell

English B2+

Tools

Git

YAML

Bash/PowerShell

Terraform

Kubernetes

Job description

EPAM Systems is seeking a hands-on Senior DevOps & AI Automation Engineer to drive a major replatform from OpenShift to Kubernetes and migrate CI/CD pipelines from Jenkins to Azure DevOps, leveraging AI Agents and Agentic AI frameworks.

You will lead design and implementation of scalable AI-powered workflows, optimize token usage and LLM costs, and collaborate across teams to align DevOps with business goals. Strong Python automation skills and Terraform/Kubernetes expertise are required.