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KLA

Sr. DevOps Engineer

KLA, Ann Arbor, Michigan, us, 48113


Job Description/Preferred QualificationsWe are seeking a highly skilled Sr. DevOps Engineer in implementing and handling DevOps methodologies and tools. The ideal candidate will have expertise in Git, Artifactory, Cloud Services (AWS/Azure/GCP), VMware, Hyper-V, containerization technologies like Docker and Kubernetes, static code analysis tools such as SonarQube, and scripting languages (Shell, PowerShell).Responsibilities:Design, implement, and maintain CI/CD pipelines using Git, Artifactory, and other version control systems to facilitate efficient software development processesArchitect, deploy, and handle cloud infrastructure using AWS, Azure, or GCP, ensuring scalability, security, and reliabilityExpertise in virtualization technologies including VMware and Hyper-V for infrastructure provisioning and maintenanceImplement and run containerization technologies such as Docker and Kubernetes for orchestration and deployment of applicationsApply static code analysis tools like SonarQube to carry out code quality and ensure best practices across development teamsDevelop and maintain automation scripts using Shell scripting, PowerShell, and other automation tools for streamlining operational tasksCollaborate closely with multi-functional teams to solve issues, optimize performance, and improve system reliabilityRequirements:Minimum of seven (7) years of experience in DevOps, with a focus on the mentioned technologiesExtensive hands-on experience with Git, Artifactory, cloud platforms (AWS/Azure/GCP), VMware, Hyper-V, Docker, Kubernetes, SonarQube, Shell scripting, and PowerShell automationStrong understanding of software development practices, Agile methodologies, and continuous integration/continuous deployment (CI/CD) pipelinesExcellent problem-solving skills and the ability to work in a fast-paced, collaborative environmentStrong communication skills to effectively collaborate with teams across different fieldsMinimum QualificationsBachelor's Level Degree in Computer Science, Engineering or related fieldMinimum six (6) years of relevant experience

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