Lead the design, development, and enhancement of AI systems and applications integrated with engineering platforms

Mentor and guide team members, fostering growth and knowledge-sharing across the team

Collaborate actively with architects, stakeholders, and engineering teams to establish and apply best practices at scale

Standardize, optimize, and maintain CI/CD pipelines and workflows using reusable components across projects

Define and lead the implementation of infrastructure automation using Terraform Enterprise and AWS CDK

Oversee and contribute to the development and maintenance of containerized applications with Docker and Kubernetes (OpenShift/EKS/ECS)

Facilitate the adoption of advanced prompt engineering tools like Claude Code and GitHub Copilot to improve engineering productivity

Develop and manage version control strategies and deployment processes using GitHub Actions

Lead the design and support of scalable APIs and event streaming solutions for enterprise applications

Ensure high availability, security, and compliance across cloud and on-prem resources, delivering enterprise-grade solutions

Take ownership of partially defined scopes and end-to-end delivery while adhering to architectural principles

Influence hiring and onboarding processes to build and strengthen the team's capabilities

5+ years of experience as a DevOps Engineer with AWS infrastructure expertise

1+ years of relevant leadership experience

Advanced proficiency in Terraform Enterprise and/or AWS CDK

Extensive experience designing and overseeing CI/CD pipelines, including GitHub Actions and reusable workflows

In-depth knowledge of containerization technologies like Docker and Kubernetes (OpenShift/EKS/ECS) in production environments

Strong track record of implementing automation initiatives using modern AI tools like Claude Code, GitHub Copilot

Demonstrable expertise in prompt engineering to solve complex problems and optimize workflows

Proficient in JavaScript/TypeScript/Node.js for application development and support

Comprehensive understanding of Anthropic Claude and applications in engineering productivity

Strong team collaboration and leadership skills with the ability to mentor and motivate others

Excellent verbal and written communication skills in English, at least at a B2+ level

Experience with MCP and AI Agents, with contributions to AI-driven engineering workflows

Practical knowledge of Model Context Protocol in implementing AI solutions

Proficiency in Python for developing AI-driven solutions and mentoring others in enhancing their workflows

Experience with AWS Bedrock