DevOps Engineer
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Key skills for this role
Role Overview
The DevOps Engineer will design, automate, and scale infrastructure, systems, and services supporting KLA software products and development.
The role focuses on automation, infrastructure modernization, CI/CD excellence, platform reliability, and safe software delivery at scale.
The engineer will apply AI Agents or Agentic AI Frameworks, Infrastructure as Code, cloud technologies, container orchestration, and automation.
Key Skills for This Role
Full Job Posting
Company Overview
KLA develops systems and solutions for the semiconductor manufacturing ecosystem, including wafers, reticles, integrated circuits, packaging, printed circuit boards, and displays.
KLA invests substantially in research and development and employs physicists, engineers, data scientists, and problem-solvers.
Role Overview
The DevOps Engineer will design, automate, and scale infrastructure, systems, and services supporting KLA software products and development.
The role focuses on automation, infrastructure modernization, CI/CD excellence, platform reliability, and safe software delivery at scale.
The engineer will apply AI Agents or Agentic AI Frameworks, Infrastructure as Code, cloud technologies, container orchestration, and automation.
Responsibilities
- Design, build, and maintain 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.
- Maintain knowledge repositories, AI skills, prompts, and contextual data sources for software development workflows.
- Manage cloud infrastructure with AWS, Azure, or GCP and Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
- Operate containerized applications with Docker, Kubernetes, and Helm.
- Automate operational and deployment processes using Python, Bash, PowerShell, or similar scripting languages.
- Collaborate with development, quality engineering, and infrastructure teams to improve delivery and operational efficiency.
- Participate in incident response, root cause analysis, continuous improvement, architecture discussions, and platform standardization.
Minimum Qualifications
- 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.
Benefits
- KLA offers a competitive, family-friendly total rewards package designed for an inclusive environment.
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