Company Overview
Job Description/Preferred Qualifications
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays.
The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. KLA focuses more than average on innovation and invests 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description / Preferred Qualifications
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 [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Skills Required
- 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
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
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Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
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Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.
KLA Insights
What We Do
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. 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.








