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

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

Familiarity with MCP and AI Agents

Knowledge of Model Context Protocol

Background in Python for developing AI-driven solutions

Experience with AWS Bedrock