devops engineer in AI automation

EPAM provides enterprise software products, open-source solutions, and accelerators through EPAM SolutionsHub.

• Replatform infrastructure setup from OpenShift to Kubernetes;
• Migrate CI/CD pipelines from Jenkins to Azure DevOps using AI-driven automation;
• Design and implement scalable AI workflows for pipeline migration, remediation, and validation;
• Leverage AI Agents, GitHub Copilot, and Agentic AI frameworks to accelerate DevOps operations;
• Ensure efficient token usage and optimize LLM/API costs across automation workflows;
• Develop intelligent automation solutions for operations, monitoring, and remediation;
• Build and maintain Python-based automation scripts to support pipeline and infrastructure tasks;
• Collaborate with cross-functional teams to align AI-enabled DevOps practices with business goals;
• Establish best practices for prompt design, model usage, and AI workflow orchestration.

• 3+ Years of experience in DevOps with Microsoft Azure and Azure DevOps;
• Strong CI/CD experience, including hands-on work with Jenkins;
• Proficiency in Python automation and scripting;
• Expertise in Kubernetes and Terraform;
• Familiarity with GitHub Copilot and AI-assisted development;
• Background in AI Agents and Agentic AI frameworks;
• Skills in token optimization and AI/LLM cost optimization;
• Competency in designing efficient LLM prompts, workflows, and model usage;
• Knowledge of Git, YAML, and Bash/PowerShell;
• English proficiency at an Upper-Intermediate level (B2) or higher;
• Nice to have: Background in Azure Cloud and IaC (Terraform), understanding of GenAI, LLMs, and RAG, skills in Prompt Engineering, familiarity with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.

• Remote work is available from Ukraine.