Company:
KLA
Location: Ann Arbor
Closing Date: 16/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description/Preferred Qualifications
We 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 processes
- Architect, deploy, and handle cloud infrastructure using AWS, Azure, or GCP, ensuring scalability, security, and reliability
- Expertise in virtualization technologies including VMware and Hyper-V for infrastructure provisioning and maintenance
- Implement and run containerization technologies such as Docker and Kubernetes for orchestration and deployment of applications
- Apply static code analysis tools like SonarQube to carry out code quality and ensure best practices across development teams
- Develop and maintain automation scripts using Shell scripting, PowerShell, and other automation tools for streamlining operational tasks
- Collaborate closely with multi-functional teams to solve issues, optimize performance, and improve system reliability
Requirements:
- Minimum of seven (7) years of experience in DevOps, with a focus on the mentioned technologies
- Extensive hands-on experience with Git, Artifactory, cloud platforms (AWS/Azure/GCP), VMware, Hyper-V, Docker, Kubernetes, SonarQube, Shell scripting, and PowerShell automation
- Strong understanding of software development practices, Agile methodologies, and continuous integration/continuous deployment (CI/CD) pipelines
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
- Strong communication skills to effectively collaborate with teams across different fields
Minimum Qualifications
- Bachelor's Level Degree in Computer Science, Engineering or related field
- Minimum six (6) years of relevant experience
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