Responsibilities
- Design, build, and maintain CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
- Integrate AI capabilities into CI/CD for code review, deployment validation, root cause analysis, and change impact assessment.
- Build and maintain knowledge repositories, AI skills, prompts, and contextual data sources for software development workflows.
- Architect and manage cloud infrastructure using AWS, Azure, or Google Cloud Platform.
- Implement Infrastructure as Code with Terraform, CloudFormation, or Ansible.
- Deploy, operate, and optimize containerized applications using Docker, Kubernetes, and Helm.
- Automate operational and deployment processes with Python, Bash, PowerShell, or similar scripting languages.
- Collaborate with development, quality engineering, and infrastructure teams to improve software delivery and operational efficiency.
- Participate in incident response, root cause analysis, continuous improvement, architecture discussions, and platform standardization.
Requirements
- Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
- 2–3 years of hands-on experience with AI agents or agentic AI frameworks for DevOps practices and processes.
- Expertise in Infrastructure as Code, cloud technologies, container orchestration, automation, and DevOps practices.
Benefits
- Competitive, family-friendly total rewards package.
- Benefits designed to support diverse employee needs and an inclusive environment.
Tech Stack
Categories
About KLA
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging and printed circuit boards. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Visit us at: www.kla.com Statements made on LinkedIn may constitute forward-looking statements under federal securities laws. These forward-looking statements involve risks and uncertainties that could significantly affect the expected results and are based on certain key assumptions. Due to such uncertainties and risks, no assurances can be given that such expectations will prove to have been correct, and readers are cautioned not to place undue reliance on such forward-looking statements, which speak only as of the date indicated. Other risks that KLA faces include those detailed in KLA filings with the Securities and Exchange Commission, including KLA's annual report on Form 10-K and quarterly reports on Form 10-Q. Forward-looking statements made by third parties do not necessarily reflect the opinion of KLA, are outside of KLA’s control and have not been verified or otherwise vetted by KLA.