• Overall 6 years of professional experience in IT domain as DevOps engineer in automation, continuous deployment, continuous integration.• Experience with cloud platform like AWS and services like EC2, S3, IAM, CloudWatch, Elastic search, Elastic beanstalk, Lambda.• Have basic knowledge of python.• Streamlined CloudWatch logs in Kibana using Elastic search in AWS.• Used DevOps tools like Jenkins, Docker, Ansible, Kubernetes with CI/CD implementation.• Experience in using Git, GitHub as Source control management tool.• Knowledge of databases like SQL, MySQL, MongoDB.• Experience with installation and configuration of on Docker and Kubernetes Linux/centos machines.• Knowledge of managing local deployments in Kubernetes, creating local cluster & writing yaml files.• Worked with team that managed the configuration management tool like ansible and learned ansible playbooks.• Worked collaboratively and efficiently with Agile team. • Experience with automation and scripting languages (e.g., Python, Bash)• Earned bachelor’s degree in computer science and engineering & have deep understanding of ITIL Standard principles.• Collaborated with cross-functional teams to enhance problem-solving capabilities, resulting in a 20% reduction in project delivery times.• Utilized GitLab for version control and continuous integration, streamlining collaboration across team members and improving project transparency.• Implemented containerization solutions to improve deployment processes, enabling team members to work more efficiently and cohesively on shared projects.• Able to collaborate well with cross-functional teams on troubleshooting issues and deliverables.• Monitor and maintain the automated build and CI process to ensure correct build execution and facilitate resolution of build failures using ticketing tools like JIRA.• Excellent communication skills, ability to work as a team or individually, learn new technologies.• Valuable understanding of the Software Development Lifecycle (SDLC) using Waterfall & Agile.
