DevOps Engineer

Role Overview

Responsibilities

• Design, build, and maintain scalable CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
• Integrate AI into CI/CD for code review, deployment validation, root cause analysis, and change impact assessment.
• Build knowledge repositories, AI skills, prompts, and contextual data sources for software lifecycle AI systems.
• Architect and manage AWS, Azure, or Google Cloud infrastructure using Infrastructure as Code tools.
• Deploy, operate, and optimize containerized applications with Docker, Kubernetes, and Helm.
• Automate operational and deployment processes with Python, Bash, PowerShell, or similar languages.
• Collaborate with software development, quality engineering, and infrastructure teams.
• Participate in incident response, root cause analysis, and continuous improvement.
• Evaluate modern DevOps solutions to improve developer productivity and platform performance.
• Contribute to architecture discussions, platform standardization, and engineering excellence initiatives.

Minimum Qualifications

• A master's degree in Computer Science, Engineering, Information Technology, or a related field is required.
• Two to three years of hands-on experience with AI agents or agentic AI frameworks for DevOps practices and processes is required.

Technical Scope

• The role requires expertise in AI agents or agentic AI frameworks, Infrastructure as Code, cloud technologies, container orchestration, and automation.
• Relevant tools include Jenkins, GitHub Actions, Azure DevOps, AWS, Azure, Google Cloud Platform, Terraform, CloudFormation, Ansible, Docker, Kubernetes, Helm, Python, Bash, and PowerShell.