Responsibilities:•Launched, Configured and automated Elastic Load Balancers (ELB) for Frontend and Backend Servers, Utilized AWS Cloud Watch to monitor the performance environment instances for operational performance metrics during load testing.•Written Cloud Formation Templates in JSON and YAML format to build the AWS services with the paradigm of Infrastructure as a Code.•Experience with event-driven and scheduled AWS Lambda functions to trigger various AWS resources and worked on Lambda, for triggering events with cloud watch using Lambda functions.•Developed scripts for deployment of customer environments into AWS using Bash, Python and created scripts in Python which integrated with Amazon API to control instance operations.•Extensive experience in Windows Azure (IaaS) migrating like creating Azure VMs, storage accounts, VHDs, storage pools, migrating on premise servers to Azure and creating availability sets in Azure. •Configured and Implemented Azure Cloud platform such as Virtual Networks Multi-site, Cross-site, VMs, Azure AD, Load Balancers, Azure SQL, and Cloud Services.•Extensively used Ruby scripting on Chef Automation for creating cookbooks comprising all resources, data bags, templates, attributes and used Knife commands to manage Nodes.•Installed, configured and administrated Jenkins Continuous Integration tool on Linux machines along with adding/updating plugins such as GIT, Maven and Ansible.•Responsible for monitoring the server infrastructure using Nagios, Managed users, workflow, groups and projects in JIRA. •Worked on automating Linux server builds running on Oracle Linux 7.3 both VMs and Physical servers.Environment: EC2, RDS, S3, IAM, VPC, Cloud Watch, Cloud Trail, SNS, EBS, Route 53, ELB, Amazon Machine image, Elastic Bean Stack, Python (BOTO), Lambda, Azure, Shell scripting, Linux, MySQL, Jira, Jenkins, Maven, GIT, Kubernetes, Docker, Ansible, Puppet, Nagios, Terraform, Python, WebLogic, WebSphere.

Responsibilities:• Created and Configured Red Hat, Windows Server 2008/2012, Ubuntu, CentOS, Solaris and Fedora Virtual Machines in AWS using EC2, ElasticIP, VPC, Subnets, RouteTables, NATGateway.• Configured SNS, SQS, Data Pipeline, RDS, DynamoDB, S3, IAM, Cloud Front and ELB to setup environment ready for cloudification. • Designed AWS Cloud Formation templates in JSON to create custom sized VPC, subnets, NAT to deploy Web applications & database templates; designed roles and groups for users & resources using AWS Identity Access Management (IAM). • Installation and troubleshooting GIT related problems.• Designed small cluster of AWS environments for DEV and QA environments.• Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and Gradle • Maintained Artifacts in binary repositories using JFrog Artifactory and pushed new Artifacts by configuring the Jenkins project using Jenkins Artifactory Plugin • Used Puppet to deploy ELK for automating continuous deployment (CD) and configured Slave Nodes and deployment failure reporting • Created and maintained Puppet Modules to manage configurations and automate installation process. Deployed Puppet and Puppet DB for configuration management to existing infrastructure • Automated Data Structures validation of the configuration files using Python Scripting designed and developed log management framework using Python Language to collect log files • Set up Code Coverage reports tool like Sonar and Cobertura to help in managing the quality of source code.• Involved in writing and editing the existing ANT (Build.XML) files in case of errors or changes in the project requirements.Environment: AWS, Git, GitHub, Jenkins, Puppet, Python, DataDog, Cloud Watch, Red hat Linux, UNIX, Windows servers, EC2, S3, RDS, ELB, EBS, Cloud Formation, Puppet, Artifactory, ELK, Maven, Udeploy, Gradle

Responsibilities:•Created and Configured Red Hat, Windows Server 2008/2012, Ubuntu, CentOS, Solaris and Fedora Virtual Machines in AWS using EC2, ElasticIP, VPC, Subnets, RouteTables, NATGateway.•Configured SNS, SQS, Data Pipeline, RDS, DynamoDB, S3, IAM, Cloud Front and ELB to setup environment ready for cloudification. •Designed AWS Cloud Formation templates in JSON to create custom sized VPC, subnets, NAT to deploy Web applications & database templates; designed roles and groups for users & resources using AWS Identity Access Management (IAM). •Installation and troubleshooting GIT related problems.•Designed small cluster of AWS environments for DEV and QA environments.•Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and Gradle •Maintained Artifacts in binary repositories using JFrog Artifactory and pushed new Artifacts by configuring the Jenkins project using Jenkins Artifactory Plugin •Used Puppet to deploy ELK for automating continuous deployment (CD) and configured Slave Nodes and deployment failure reporting •Created and maintained Puppet Modules to manage configurations and automate installation process. •Automated Data Structures validation of the configuration files using Python Scripting designed and developed log management framework using Python Language to collect log files •Set up Code Coverage reports tool like Sonar and Cobertura to help in managing the quality of source code.•Jenkins and Hudson were used as tools for Continuous Integration while analyzing the code quality by using SonarQube.•Installed and Configured the Apache Tomcat application servers for Dev and Integration Test Environments.Environment: AWS, Git, GitHub, Jenkins, Puppet, Python, DataDog, Cloud Watch, Red hat Linux, UNIX, Windows servers, EC2, S3, RDS, ELB, EBS, Cloud Formation, Puppet, Artifactory, ELK, Maven, Udeploy, Gradle.

Responsibilities:• Managed and maintained end-to-end Pipeline with help of AWS VPC, Amazon EC2, Chef, AWS, Cloud Formation and Jenkins. • Extensive experience includes Migrating from on-premises to Cloud, DevOps Build/Release Management, Change/Incident Management and Cloud Management.• Worked on AWS Cloud Front, including creating and managing distributions to provide access to S3 bucket or HTTP server running on EC2 instances.• Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our environments. • Developed automation framework for Application Deployments to the cloud environments using Terraform, converted existing Terraform modules that had version conflicts to utilize cloud formation during Terraform deployments to enable more control or missing capabilities.• Created Cloud formation scripts for hosting software on AWS Cloud. Automating the installation of Software through PowerShell scripts.• Used Puppet to deploy ELK for automating Continuous Deployment (CD) and configured Slave Nodes and deployment failure reporting.• Deployed Puppet, Puppet dashboard and Puppet DB for configuration management to existing infrastructure.• Worked on Python scripting to deploy the applications using Puppet across Linux servers.• Installation and configuration Infrastructure Automation Tool Puppet. Created and updated Puppet manifests, modules, files, and packages.• Involved in container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries.• Extensively used Docker for virtualization, Ship, Run and Deploy the application securely to fasten Build/Release Engineering. • Open Shift enterprise is used as part of setting up infrastructure which uses Docker and Kubernetes.

Responsibilities:• Monitored resources and applications using AWS cloud watch including creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3 and configured notifications for the alarms generated based on events defined. • Involved in Assigning Roles, manage Users, groups and policies using AWS Identity and Access Management (IAM). • Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins and Puppet along with Shell Scripts to automate routine jobs. • Experience working with Chef Enterprise and Chef Open Source, Chef DK, Chef Workstation, Chef Server, Chef-Client. • Setup and maintenance of automated environment using Chef Recipes & Cookbooks within AWS environment. development, QA, UAT and production and continuous integration with SONAR. • Experienced in setting up Continuous Integration environment using Bamboo. Used the continuous integration tool Bamboo to automate the daily processes • Managed the source codes repository of multiple development applications using Tortoise SVN. • Created artifact files by using jar files and POM.xml files & used Apache Tomcat.• Building and provisioning Glance images, install/configure software's: Jenkins, Kubernetes, Docker swarm, Docker compose. • Managed all the bugs and changes into a production environment using JIRA tracking tool. • Production support of Apache and JBoss including installation, configuration, management and troubleshooting. • Merged the generated reports as per request. Formatted data into required format using UNIX, Shell Scripts. • Experience in bug fixes to the code by interacting with application team. • Responsible for sending daily report emails to project manager. ENVIRONMENT: AWS Cloud Watch, ELB, EC2, S3, IAM, Jenkins, Puppet, Shell Scripts, Maven, Chef, SonarQube, Bitbucket, ANT, SVN, XML, Docker, Kubernetes, Ansible, JIRA, Apache Tomcat, JBoss, Unix/Linux.

Responsibilities:• Managed Access management to the different roles in to the application supported by LDAP and IIS• Analyzed the issues and resolved the same, proposing a workaround to maintain business continuity and ensuring minimum business downtime. Identifying the critical issues and taking prompt and effective actions spontaneously.• Provided the end user communication for critical issues like service delays/disruption with ETAs. Daily system and application health checks are performed to ensure the smooth running of the application. Handling user queries related to reports, daily job schedules/Database management and providing the solutions within the specified SLAs.• Discussed with users and prioritize the issues (tickets) or enhancement for quarterly application releases. Provide support during User Acceptance Testing to Development team. Providing Weekly and Monthly incident trend reports to client manager and other dev managers• Conducted weekly incident/problem management calls with development team. Engaged in PRC calls with development team to track the status of the release. Release of the components to the production system after high level verification• Evaluated overall risk of project to the release as a whole, evaluate and cross reference application impact to uncover any unexpected overlaps with other process and encourage communication between projects and stakeholders.• Verified there is agreement between the line of business and testers that all items are ready to deploy.• Collected, validate and publish deployment tasks for my area prior to deployment activity.• Monitored the deployment to report any issues that may occur due the deployment.• Provided daily operational support to end-users for administration access, profiles, and passwords, resulting in a satisfied internal customer base.Environment: SQL, Shell scripting, ASP, IIS7, Unix/Linux/windows servers, MS SQL Server.