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Senior DevOps & AI Automation Engineer

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Senior (5-10 years)
  • AI Automation Engineer
  • English

Hard skills

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are looking for a hands-on Senior DevOps & AI Automation Engineer with strong CI/CD, AI automation, and Agentic AI expertise. In this role, you will lead the replatforming from OpenShift to Kubernetes and migrate CI/CD pipelines from Jenkins to Azure DevOps, leveraging AI Agents, GitHub Copilot, and Agentic AI frameworks to drive intelligent automation and cost-efficient AI workflows. Responsibilities 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 Requirements 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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