• Worked at optimizing volumes and EC2 instances and created multiple VPC instances• Migrated the current Linux environment to AWS/RHEL Linux environment and used auto scaling feature and Involved in Remediation and patching of Unix/Linux Servers.• Automated CI/CD with Jenkins, build-pipeline-plugin, Maven, GIT Set up Jenkins master/slave to distribute builds on salve nodes.• Installation of MongoDB in different Operating System (Linux, Windows, FreeBSD) Manage and maintain MongoDB servers across multiple environments.• Used Docker registry, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.• Installed and configured foreman with puppet, SaltStack for auto-provisioning the Linux machines in AWS and VMware environments.• Created Python scripts to automate AWS Services which includes ELB, Cloud front, Lambda, database security and application configuration also Developed them to take backup of EBS volumes using AWS Lambda, CloudWatch.• Create BladeLogic Packages, Jobs, Property Dictionary, Batches, Viewing the selected issues of web interface using SonarQube.• Created a custom puppet module skeleton to use same structure across all puppet modules. Implemented Puppet Hiera to separate data from puppet code.• Automate the Build and deploy of all internal Java &.Net environments using various continuous integration tools and scripting languages (Python, Shell, PowerShell). Troubleshot server’s connectivity within BladeLogic.• Managed Virtual servers (Ubuntu Linux and Windows) on AWS EC2 using Open-Source Chef Server.• Created monitors, alarms and notifications for EC2 hosts using Cloud watch.• Configured S3 to host static web content including HTML pages, images, CSS files and Java script files and involving configuring S3 versioning and lifecycle policies to and backup files and archive files in glacier.

• Responsible for maintenance of Continuous Integration and Continuous Deployment pipeline for developing an application environment and to manage AWS resources in cloud.• Designed, configured and deployed Amazon Web Services (AWS) for a multitude of applications using the AWS stack (EC2, Route53, S3, RDS, Lambda, CloudWatch, EFS, S3 Glacier, Resource Access Manager, IAM), focusing on high-availability, fault tolerance, and auto-scaling.• Managed and maintained highly available EC2 Instances using Terraform and wrote plugins that supports new functionalities in Terraform.• Created and managed S3 buckets for storage and used Glaciers to Archive data.• Successfully configured AWS IAM policies for users, using Multi-Factor Authentication service for login authentication and used Transport Layer Security Protocol to protect data at transit.• Created Lambda function to monitor the log files which will trigger the Lambda code when there are changes in log files.• Maintained edge location to cache data with Amazon CDN (Content Delivery Network) using Cloud Front to deliver data with less latency.• Worked on IPv4, IPv6 addressing, fixed length & variable length & subnet masking (VLSM), ARP, RARP, PING concepts, OSI and TCP/IP models.• Worked in branching, tagging and maintaining the version across the environments using SCM tools like GIT on Linux, Mac and windows platforms.• Worked on Kubernetes for creating new projects and services for load balancing, managing Docker containers with multiple namespace version and adding service to routes by accessing from outside, creating pods through new application and controlling, scaling and troubleshooting pods through SSH.• Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes infrastructure and microservice Container Orchestration.

• Created and maintained containerized micro services and configured private container registry on Microsoft Azure for Hosting Images and using Windows active Directory.• Developed automation system using PowerShell and JSON templates to remediate the Azure services.• Configured VMs availability sets using Azure portal to provide resiliency for IaC based solution and scalable sets using Azure Resource Manager to manage network traffic.• Developed automated scripts using .NET framework in Visual Studio VSTS.• Managed Azure Security groups and attached them to VM’s and Subnets using Azure Portal and PowerShell scripts.• Designed the Azure Data Factory Pipelines to move the data from On-Premise SQL Database servers to Azure SQL Database servers using the Azure Data Factory Copy tool and Self-Hosted Runtimes.• Migrated the Micro Service Based applications from Virtual Machines to Docker containers and managed the clustered containers using Kubernetes.• Developed the Pipelines in Jenkins to automate the .NET and java builds and to update DynamoDB during the releases.• Worked in advocating, maintaining and monitoring of Active Directory (AD) services infrastructure and Azure Active Directory (AAD) infrastructure, incorporated with periodic auditing, troubleshooting and performance.• Established Azure Virtual Network (VNETs), storage containers and load balancers and Created Azure wed application projects, updated and deployed ASP.NET web apps, web jobs using visual studio, TFS and Azure Resource Manager.• Worked on creating the Kubernetes Pods, Services, ConfigMaps, Deployments and Rollouts by writing the yaml's and creating the resources using kubectl.• Evaluated testing of Chef Recipes - Concept of Test-Driven Development for Infrastructure as a Code. Implemented Chef Cookbooks for OS component configuration to keep AWS server's template minimal.

• Created continuous integration/deployment with Application Release Automation by integrating and improving client's existing infrastructure and build pipelines, largely aiming for autonomous automation when possible.• Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems.• Worked extensively with AWS services like EC2, S3, VPC, ELB, Autoscaling Groups, IAM, CND, Cloud Trail, CloudWatch, NAT and RDS.• Administered databases using RDS and DynamoDB in AWS and executed the DML and DDL scripts.• Used JIRA as defect tracking system and configure various workflows, customizations and plugins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub.• Performed JIRA administration, setting up new projects, creating new workflows, adding users to roles.• Worked with layout of project workflow/pipelines using Jenkins as CI tool, performed cleanup of file system using Shell scripting and configured various Cron jobs.• Created the branches in Git to perform the simultaneous development process to support quarterly release.• Developed and maintained Cloud Formation JSON Templates and automated the cloud deployments using Chef.• Prepared projects, dashboards, reports and questions for all JIRA related services and generated scripts for effective integration of JIRA applications with other tools. • Involved in setting up builds using Chef as a configuration management tool and managed the configurations of servers and Installed Chef Server on the workstation and bootstrapped the nodes using Knife and involved in writing Chef Cookbooks and recipes to automate the deployment process.• Created tickets for bug stories and feature stories in JIRA with co-ordination of QA/BA team respectively and issued it to developers to fix bugs and include necessary feature add.

• Used the version control system GIT to access the repositories and used in coordinating with CI tools.• Assisted end-to-end release process from the planning of release content through to actual release deployment to production.• Developed Perl and shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.• Build and Developed scripts using Maven and ANT as build tools in Jenkins to move from one environment to other environments.• Designed Puppet Modules to manage configurations and automate installation process.• Worked on creation of Puppet manifest files to install tomcat instances and to manage configuration files for multiple applications.• Integrated Puppet with Apache Tomcat and developed load testing and monitoring suites in Python.• Built artifacts (WAR's and EAR's) are deployed to WebSphere app server by integrating and maintained configuration files for each application for build purpose.• Prepared the Release Plan Document for all the Production Releases such as Rollback Plan or Back-out Plan, Implementation Plan, and Test Plans • Extensively used JIRA for issue tracking and project management and for tracking bug.• Integrated Bitbucket with JIRA for transition JIRA issues from within Bitbucket Server and monitored the JIRA issues in Bitbucket Server.