Overall 6+ years of IT industry experience as Linux Administration, DevOps, Build and Release Engineer in Systems Administration, Configuration Management, and Development, and hands-on experience on various Cloud/IaaS platforms such as Amazon AWS, Microsoft Azure and experience in Software configuration management (SCM), Build/Release Management, performing duties such as automation, deployment, documenting, support, troubleshooting and monitoring in various environments like DEV, TEST, STAGE & PROD.
• Automation of configuration management tools, build tools following Agile methodology and Software Development Life Cycle (SDLC) which include monitoring, configuration, troubleshooting and maintenance in a cloud and the DevOps Environment with Continuous integration and Continuous Delivery process (CI/CD).
• Extensively worked on AWS Cloud resources such as EC2 instances, IAM policies, Route 53, Auto scaling, S3, RDS, EBS, VPC, SNS, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, Security Groups focusing on fault tolerance and high availability. Configured and launched EC2 instances in cloud AWS by creating own infrastructure using AWS resources like VPC, Subnets, Route tables and Internet Gateways.
• Experience on Jenkins, Ansible, Chef, Puppet, GIT, GitHub, Maven and Nexus to build and save the artifacts.
• Worked with Kubernetes, running/managing containers, container snapshots and managing images to containerize applications, manage clusters that are running and creating persistent volumes.
• Installed and configured an automated tool Puppet that included the installation and configuration of the Puppet master, agent nodes and an admin control workstation.
• Extensively Installed configured and administered application servers like WebLogic 10.x/11, WebSphere 7/6, JBoss 4.0.x and Tomcat 7.x/6.x/5.5 of application servers.
• Good working experience on scripting languages like Power Shell, python and Bash. Ability in development and execution of those scripts.
• Created JIRA Workflow triggers integration with Bitbucket and managed documentation and stories in Atlassian Confluence for all the resources.