DevOps Automation Professional
2 days ago
Job Title: DevOps Automation Professional
About the Role:
We are looking for a skilled DevOps Automation Professional to join our team. The successful candidate will be responsible for configuring, deploying, and maintaining GitLab Runners, ensuring high availability and optimal performance, managing executor types, designing and implementing CI/CD pipelines, troubleshooting pipeline failures, collaborating with development and QA teams, and implementing security best practices.
Salary: ₹1,200,000 - ₹1,800,000 per annum (dependent on location)
Responsibilities:
• Configure and manage GitLab Runners across various environments
• Ensure high availability and optimal performance of GitLab Runners
• Manage executor types based on project requirements
• Design and implement CI/CD pipelines to streamline software build, test, and deployment processes
• Troubleshoot pipeline failures and implement fixes to ensure robust and efficient workflows
• Collaborate with development and QA teams to integrate and automate test cases within the CI/CD pipeline
• Develop and maintain scripts for build automation, deployment, and configuration management
• Enhance automation of repetitive tasks to improve overall development productivity
• Monitor the performance of GitLab Runners and address bottlenecks or system failures
• Analyze logs and system metrics to identify and resolve issues proactively
• Implement and enforce security best practices for CI/CD pipelines, including secure credential management
• Ensure compliance with organizational policies and regulatory standards
Required Skills and Qualifications:
- Experience: 6-14 years of hands-on experience with GitLab CI/CD and GitLab Runner configurations
- Proficient in setting up and managing GitLab Runners in various environments
- Deep understanding of Docker, Kubernetes, and virtualization technologies
- Strong knowledge of Linux/Unix operating systems and shell scripting
- Demonstrated expertise in designing and optimizing CI/CD pipelines
- Proficiency in Python, Bash, or other scripting languages
- Experience with tools like Prometheus, Grafana, or similar for monitoring pipeline performance
- In-depth knowledge of Git and GitLab repository management
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