DevOps Engineer

Responsibilities

• The selected DevOps Engineer will join a world-class engineering team responsible for designing, automating, and scaling the infrastructure, systems, and services that support KLA's software products and development ecosystem. This individual will play a key role in driving automation, infrastructure modernization, and CI/CD excellence while enabling engineering teams to deliver software safely, reliably, and efficiently at scale.
• The ideal candidate will possess strong expertise in AI Agents / Agentic AI Frameworks for DevOps practices/process, Infrastructure as Code (IaC), cloud technologies, container orchestration, and automation. They will collaborate with cross-functional teams to implement scalable solutions, improve platform reliability, and establish engineering best practices across the software delivery lifecycle.
• Key Responsibilities Include:
• Design, build, and maintain scalable CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
• Integrate AI capabilities into CI/CD pipelines for intelligent code review, deployment validation, root cause analysis and change impact assessment.
• Build and maintain knowledge repositories, AI skills, prompts, and contextual data sources that improve the effectiveness of AI systems across the software development lifecycle.
• Architect and manage cloud infrastructure using AWS, Azure, or Google Cloud Platform (GCP), leveraging Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
• Deploy, operate, and optimize containerized applications using Docker, Kubernetes, and Helm.
• Automate operational and deployment processes using Python, Bash, PowerShell, or similar scripting languages.
• Collaborate with software development, quality engineering, and infrastructure teams to accelerate software delivery and improve operational efficiency.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Evaluate and implement modern DevOps solutions to enhance developer productivity and platform performance.
• Contribute to architecture discussions, platform standardization, and engineering excellence initiatives across global teams.
• Minimum Qualifications
• Master's Degree in Computer Science, Engineering, Information Technology, or a related field with 2-3 Hands-on experience with AI Agents / Agentic AI Frameworks for DevOps practices/processes
• We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
• KLA is proud to be an equal opportunity employer
• Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.