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We are seeking an experienced Senior DevOps Engineer to join our cutting-edge engineering team, driving innovation through automation and AI integration while leveraging Terraform and AWS CDK. You will play a pivotal role in designing and enhancing a self-service engineering portal and scaling AI capabilities to improve productivity and efficiency across multiple teams.
Responsibilities
- Design, develop, and enhance AI systems and applications integrated with engineering platforms
- Collaborate actively with architects and engineering teams to apply best practices
- Optimize CI/CD pipelines and workflows using reusable components
- Implement infrastructure automation using Terraform Enterprise and AWS CDK
- Develop and maintain containerized applications with Docker and Kubernetes (OpenShift/EKS/ECS)
- Leverage prompt engineering tools like Claude Code and GitHub Copilot
- Manage version control strategies and improve deployment processes using GitHub Actions
- Build and support scalable APIs and event streaming solutions for enterprise applications
- Ensure high availability and security of cloud and on-prem resources
- Work independently on partially defined scopes while adhering to architectural principles
Requirements
- 3+ years of experience as a DevOps with AWS
- Proficiency in Terraform Enterprise and/or AWS CDK
- Expertise in CI/CD pipelines, including GitHub Actions and ReusableWorkflows
- Background in containerization technologies like Docker and Kubernetes (OpenShift/EKS/ECS)
- Proficient skills in automation with modern AI tools such as Claude Code, GitHub Copilot
- Showcase of prompt engineering capabilities
- Knowledge of JavaScript/TypeScript/Node.js for application support
- Understanding of Anthropic Claude and its application in engineering productivity
- Team-oriented with strong collaboration skills and the ability to work independently
- Strong verbal and written communication skills in English, at least at a B2 level
Nice to have
- Familiarity with MCP and AI Agents
- Knowledge of Model Context Protocol
- Background in Python for developing AI-driven solutions
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
Key Skills
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