DevOps Engineer
KLA · Chennai
Collected role description
Role overview
DevOps Engineer at KLA
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.
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Responsibilities
- 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.
- 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.
Required 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.
Employment details
- Location: Chennai [India]
About the employer
- KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem.
- KLA focuses more than average on innovation and we invest 15% of sales back into R&D.
- KLA focuses more than average on innovation and invests 15% of sales back into R&D.
Additional role details
- Company Overview
- 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.
- 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
- 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.
- 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.
Collected minimum qualification
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
Collected preferred qualification
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.