 Overall 4+ years of professional experience as a DevOps Engineer with AWS Cloud Services. Good exposure to all phases of Software Development Life Cycle (SDLC). Implemented CI/ CD pipeline with Jenkins, Integration other DevOps tools like Git, Maven, Docker, Terraform, Ansible, and Kubernetes. Developed Build and Release management - Git, Jenkins and Maven.  deploying utilizing almost all the AWS stack like EC2, S3, VPC, RDS, IAM, Auto scaling, load balancers, eks and Route53 etc Experienced in design and maintenance of the Git repositories  Extensive experienced in working with Version Control Systems like Git and knowledge on Bit bucket. Managed Docker container orchestration using Kubernetes. Implemented the usage of Code Review Tool SonarQube and added to the pipeline in Jenkins to make sure the quality gate is successful before merging the code. Creating Docker images for individual application deployment. Extensively worked on Jenkins for continuous integration and also for End to End automation for all build and deployments. Used MAVEN as a build tool on java projects for the development of build artifacts on the source code. Good understanding of Amazon Web Services (AWS), Creating EC2 Instances and configuring all necessary services. Worked on Route53 and mapped Instances of two different regions to the domain which we bought. Used Kubernetes to deploy, scale, load balance, manage Docker containers on multiple environments. Working experience in Docker, building docker file and pushing images. Working experience in Kubernetes installation of master and nodes, deployment of application to Kubernetes clusters using YML files. Hands on working experience with Web Servers on Apache2 and Nginx Servers.  Experience on working with MySQL and MariaDB Database. Hands-On experience with JIRA, an issue and project management tracking tool. Experience on working with monitoring tools like Nagios and AWS Cloud watch. Hands on experience on remote tools SSH, SCP, and Putty. Automating the deployment and build of Application Servers across multiple environments, technologies and platforms Good Command in Linux platform.