SUMMARY

• Over 8+ Years of professional work experience as Build & Release/DevOps Engineer with AWS and Azure Cloud platform experience with mentoring skills and a good understanding of the principles. Experienced in Continuous Integration, Continuous Deployment/Delivery integration pipelines.
• Experienced with Interpreted languages including Perl and Python.
• Understands Compiled languages including C, C++, C#, Dot NET, and JAVA.
• Strong use of Shell scripting languages including BASH for Linux and Mac platforms and PowerShell for Windows systems.
• Facility with development methodologies including Waterfall, Scrum, Kanban, Agile, and hybrid.
• Excellent configuration management utilizing Puppet, Chef, and Ansible.
• Experience working with Apache Hadoop, Kafka, Spark and Log stash.
• Experienced in Configuration Management, Cloud Infrastructure, and Automation utilizing Amazon Web Services (AWS), Ant, Maven, Jenkins, Chef, SVN, Git, GitHub, Clear Case, and Tomcat.
• Used Azure Kubernetes Service to deploy a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal, with the Azure CLI, also used template - driven deployment options such as Resource Manager Templates and Terraform.
• Manage Amazon Redshift clusters such as launching the cluster and specifying the node type as well.
• Extensive experience in Azure Development and Azure Compute Services worked on Azure Web Applications, Azure SQL Database, Content Delivery Network, Virtual machines, Azure Active Directory, Key Vault, Azure VPN Gateway, Azure Fabric, Azure search, App Services, and Notification hub.
• Implemented a 'server less' architecture using API Gateway, Lambda, and Dynamo DB and deployed AWS Lambda code from Amazon S3 buckets. Created a Lambda Deployment function, and configured it to receive events from your S3 bucket.
• Expertise in Amazon AWS Cloud Administration which includes services like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Autoscaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, OPS Work, Security Groups, etc.
• Designed highly available, cost-effective, and fault-tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balance and AMIs, and Glacier for QA and UAT environments as well as infrastructure servers for GIT and Chef.
• Strong expertise in designing Micro Services bases solutions utilizing Cloud-Native Architecture.
• Experienced in architecting and managing AWS cloud infrastructure.
• Developed Python modules to automate processes in AWS (AWS Cloud Formation)
• Efficient in Build and configuration of infrastructure in cloud development through the usage of Terraform tool as IaC, and ability of modifying the Terraform modules based on the requirement of development project.
• Implemented Micro-services using the Pivotal Cloud Foundry (PCF) platform build upon Spring Boot Services.
• Experienced in setting up TERRAFORM continuous build integration system. Build security utilities and tools for internal use that enables Engineers to operate at high speed and wide scale.
• Expertise in Application Deployments & Environment configuration using Chef, Puppet.
• Extensive experience in Linux/Unix system Administration, System Builds, Server Builds, Installations, Upgrades, Patches, Migration, Troubleshooting on RHEL 4.x/5.x
• Good knowledge of AWS services like Glacier, ELB (Load Balancers), RDS, SNS, SWF, and IAM and hands-on experience on Amazon Web Services (AWS) provision.
• Extensive experience in Server infrastructure development on AWS Cloud by using AWS services like EC2, ECS, EBS, ELB, Lambda, S3, RDS, Glacier, DynamoDB, VPC, Route53, CloudWatch, CloudFormation, IAM, Certificate Manager, SNS, and Auto Scaling in a scalable production environment.
• Kept track of all releases and requests of the developers through the infrastructure management tool.
• Extensively worked on CI tools like Jenkins, Hudson, Team City, and Bamboo for continuous integration and end-to-end automated build and deployments.
• Strong Experience in implementing Data Warehouse solutions in AWS Redshift Worked on various projects to migrate data from on-premise databases to AWS Redshift, RDS, and S3.
• Experience in Querying RDBMS such as Oracle, DB2, MY SQL, and SQL Server by using SQL for data integrity.
• Hands-on Experience of the J2EE Framework and its components as related to JAVA build, test, deployment, and release management initiatives.
• Expertise in writing Automation scripts in Selenium using C Sharp, Dot NET, and JAVA.
• Configured DOCKER Containers for Branching purpose and deployed using Elastic Beanstalk.
• Exposed to all aspects of the software development life cycle (SDLC) which includes Analysis, Planning, Developing, Testing, and Implementing and Post-production analysis of the projects.
• Involved in migrating version management systems from CVS to SVN, SVN to CVS, and SVN to GIT.
• Good experience working with container orchestration tools Apache, Marathon, and Kubernetes.
• Experience with container-based deployments using Docker, working with Docker images, Docker hub, and Docker registries, installation, and configuring Kubernetes and clustering them.
• Implemented Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple names spaced versions.
• Experience in logging, monitoring, and maintaining applications/servers using tools such as Nagios, Splunk.

TECHNICAL SKILLS

Infrastructure as service: AWS, EC2, LAMBDA, RDS, S3, IAM, OpenStack

Cloud Platform: AWS (EC2, ELB, S3), OpenStack (Nova, Swift, Glance), Azure, Cloud Foundry, AWS Elastic Cache, AWS Redshift

Application Servers: Web Logic Application Server 9.x, 10.x, Apache Tomcat 2.0.x, JBOSS 4.x/5.x, Red Hat, WebSphere 6.x/7.x/8.x

CI Tools: Jenkins, ANT, Maven, Bamboo

Container Tools: Docker, Kubernetes, Amazon ECS, Helm, Minikube

Infrastructure as Code: Terraform, Terragrunt, CFT

Configuration Management Tools: Chef, Puppet, Vagrant, Maven, Ansible

Virtualization: VMware Client, Windows Hyper-V, vSphere 5.x, Datacenter Virtualization, Virtual Box, Power VM

Programming Languages: C, SQL, HTML, PHP, XML, Bash, Perl and Shell Programming, JSP, Python and Ruby

Network Protocols/Services: LDAP, TCP/IP, UDP, FTP, SFTP, HTTP/HTTPS, SSL, DNS, and DHCP

Operating systems: Linux (Red Hat 4/5/6/7, CENTOS & SUSE), Windows servers 2003, 2008, 2008 R2, 2012, 2012R2, Windows 2000, XP, Windows 7, Ubuntu 12/13/14

Monitoring Tools: Splunk, Nagios, Cloud Watch, log Stash

Scripting: Perl, Python, Ruby, Shell scripting, YAML, JSON

Data base technologies: Oracle, SQL Server, MySQL, NoSQL (DynamoDB, Couchbase), and Amazon Aurora.

Version control Tool: Git, Git Hub, Git Lab, Bitbucket, CVS, SVN

PROFESSIONAL EXPERIENCE

Confidential

Sr. AWS DevOps Engineer

Responsibilities:

• Designed, configured, and deployed Amazon Web Services(AWS) for a multitude of applications utilizing the AWS stack (Including EC2, VPC, Glacier, Route53, S3, RDS, Cloud Watch, Cloud Trail, WAF, SNS, and IAM), focusing on high-availability, fault tolerance, and auto-scaling.
• Created customized AWS Identity and Access Management (IAM) policies for various AWS resources to have required accessibility to required resources.
• Experience in applying security patches and updating Redhat Linux OS version using Red Hat Satellite server.
• Created and configured AWS EC2 instances using preconfigured templates such as AMI, RHEL, Centos, and Ubuntu as well as used corporate-based VM images which includes complete packages to run build and test in those EC2 Instances.
• Configured an AWS Virtual Private Cloud (VPC) and database subnet group for isolation of resources within the Amazon RDS MySQL DB cluster.
• Created PowerShell scripts to constantly monitor the health of the Exchange messaging infrastructure and notify my teammates or myself in the event of a problem.
• Implemented AWS High-Availability using AWS Elastic Load Balancing (ELB), which performed a balance across instances in multiple Availability Zones.
• Used AWS Beanstalk for deploying and scaling web applications and services developed with JAVA.
• Creating S3 buckets and managing policies for S3 buckets and utilized S3 buckets and Glacier for storage and backup on AWS.
• Deployed and monitored scalable infrastructure on Amazon Web Services (AWS) & configuration management using Puppet.
• Worked on AWS API Gateway for custom domain and Record sets in Amazon Route53 for applications hosted in AWS Environment.
• Created automation and deployment templates for relational and NoSQL databases including MSSQL, MySQL, Cassandra, and MongoDB in AWS.
• Developed a Terraform plugins using Golang to manage infrastructure which improved the usability of our storefront service.
• Utilized various IaC/DevOps tools (Terraform, Vagrant, Packer, etc.) to assist in building AWS Cloud infrastructure.
• Provided security and managed user access and quota using AWS Identity and Access Management (IAM), including creating new policies for user management in JSON.
• Stocked migration of on-premises applications to the cloud and created resources in the cloud to enable this.
• Created Snapshots and Amazon Machine Images (AMI's) of EC2 Instances for snapshots and creating clone instances.
• Worked on AWS CloudWatch, CloudFormation, Cloud Trail services, and Cloud Front to set up and manage cached content delivery.
• Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS, DB services, DynamoDB tables, and EBS volumes.
• Worked on AWS Code Deploy and Auto Scaling Groups to implement Blue-Green Deployments for the various releases moving forward.
• Database Migration from SQL Server to Amazon Redshift using AWS, worked on the AWS Data pipeline to configure data loads from S3 into Redshift.
• Automated AWS volumes snapshot backups for enterprise using Lambda.
• Created functions and assigned roles in AWS Lambda to run python scripts.
• Integrated services like GitHub, AWS CodePipeline, Jenkins and AWS Elastic Beanstalk to create a deployment pipeline.
• Serve as the primary SME on Azure services including SaaS, PaaS, and Iaas while contributing architecture decisions for our ongoing migration efforts.
• Used Jenkins tools for CI with AWS for automated build every time developer code merge in to master branching.
• Implemented cloud services IAAS, PAAS, and SaaS which include Openstack, Docker and Openshift
• Created Clusters using Kubernetes, managed them on OpenShift platform and worked on creating many pods, replication controllers, services, deployments, labels, health checks and ingress by writing YAML files.
• Developed DevOps Scripts in Groovy to automate and collection analysis of Cassandra
• Experienced with the configuration and installation of DOCKER environment including DOCKER registry hub for managing different DOCKER images and deployment of applications inside the software containers.
• Orchestrated complex application deployments quickly and predictably by using Kubernetes.
• Wrote TERRAFORM templates, Chef Cookbooks, recipes, and pushed them onto Chef Server for configuring EC2 Instances.
• Development of Chef Cookbooks for systems configuration management and software deployments.
• Integrated Ansible to manage all existing servers and automate the build/configurations of new servers.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible Playbooks and has Integrated Ansible with Jenkins.
• Designed the project workflows/pipelines using Jenkins for continuous integration and deployment into different Web/Application Servers.
• Built server automation with continuous integration/continuous deployment tools like Jenkins, Maven for the build management system.
• Created ANT and MAVEN to automate the build process for the new projects and integrated them with third-party tools like Nexus.
• Installed Kafka manager for consumer lags and for monitoring Kafka Metrics also this has been used for adding topics, Partitions etc.
• Implemented Hadoop clusters on processing big data pipelines using Amazon EMR and Cloudera whereas it depended on Apache Spark for fast processing and for the integration of APIs.
• Created the SonarQube reporting dashboard to run the analysis for every project.
• Developed an audit log of JSON web tokens using Seri logger in Elasticsearch with Kibana as Visualize.
• Developed Splunk queries and Splunk dashboards target at understanding application performance and capacity analysis.
• Maintained JIRA for tracking and updating project defects and tasks ensuring successful completion of tasks in a sprint.
• Designing JSP using JAVA Beans, involved in Design, Development, Testing, and Integration of the application. Involved in developing the application using JAVA/J2EE platform.
• Implemented, integrated, and managed perforce as well as instituting accurate and automated build and release methodologies for binary compilation for Apache HTTP/HTTPS, Tomcat, PHP and MySQL.

Environment: AWS, S3, EC2, ELB, IAM, RDS, VPC, SES, SNS, EBS, Cloud Trail, Jenkins, Chef, C#, .NET, Linux, ELK, JAVA, Ruby Scripting, Python, Cmake, PowerShell, Shell Scripting, Subversion, SonarQube, Maven, Ansible, JIRA, Bamboo, TFS, DOCKER, VMWare, Splunk, GIT, Web Logic, Puppet, ANT, J2EE, Web sphere, Apache, Tomcat, JBoss, Network Protocols LDAP, DNS, NIS, NFS, Cassandra, and SQL Server.

Confidential

DevOps Cloud Engineer

Responsibilities:

• Prepared capacity and architecture plan to create the Azure Cloud environment to host migrated IaaS, VMs, and PaaS role instances for refactored applications and databases.
• Performed implementation of the Azure Operations dealing with IAAS infrastructure (Azure VMs, Virtual Networking, Azure services, Website Deployments) and deployed application as PaaS (Websites, Web Roles, and Worker Roles).
• Created Azure automated assets, Graphical runbooks, PowerShell run books that will automate specific tasks. Expertise in deploying Azure AD connect, configuring ADFS installation using Azure AD connect.
• Involved in migrating SQL server database to SQL Azure database using SQL Azure migration wizard and used Python API to upload agent logs into Azure blob storage.
• Developed data marts in the Snowflake cloud data warehouse.
• Extracted and loaded data into Azure Blob Storage and Snow Flake databases using Azure Data Factory and Data bricks.
• Developed CI/CD pipelines using Azure DevOps to deploy Snow SQL's, data factory components, and python scripts to their respective destinations.
• Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS), GitHub and Azure Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it.
• Involved in Migrating Objects from Teradata to SnowFlake. Created Snowpipe for continuous data load.
• Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics.
• Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in In Azure Databricks.
• Responsible for estimating the cluster size, monitoring, and troubleshooting of the Spark Azure Databricks cluster.
• Creation and Maintenance of MS Azure Cloud Infrastructure and Virtual Network between MS Azure Cloud and On-premise network for backend communication.
• Designed Architecture for API development & deployment as Microservice including Python code in Docker container and Azure Service Fabric.
• Hands-on development experience in several areas of the Microsoft Azure cloud technologies including Compute, Storage, App Services, PaaS v2, Service Fabric, Micro Services, Functions, Messaging, RM API, SQL Azure, Redis Cache, Service Fabric, IoT, PowerBI, PowerBI Embedded, Cognitive Services API, Cortana Analytics, BOTS Framework, deployment slots, Dev/Test Labs, Azure Active Directory Integration, Web jobs.
• Developed and Deployed Integration solution using a serverless architecture. Utilized AWS S3, Dynamo DB, EC2, Cognito, Lambda, APIGateway, and SQS to integrate Warehouse, Lab, and third-party applications to consumer-facing websites.
• Developed a Greenfield app large app using AWS Cognito, Lambda, API gateway, node backend, Postgres, and React /redux front end.
• Worked on Azure Fabric, Microservices, IoT & Docker containers in Azure and involved in setting up Terraform continuous build integration system. Used Azure Internal Load Balancer to provide high availability for IaaS VMs&PaaS role instances.
• Designed IoT SDK tools for automating Azure IoT Hub testing using Python, Docker, Bash, PowerShell, REST, C#, C++.
• Azure Container Repository (ACR), Swagger, Remote Docker Debugging, Junit test suites, Docker Logging, IoT Hub, Device, Module creation and testing, IoT security, TLS, Encryption
• Wrote Power Shell scripts to automate the Azure cloud system creation including end-to-end infrastructure, VMs, storage, firewall rules, etc.
• Azure Automation through Runbooks Creation, Migration of existing.PS1 scripts, Authorizing, Configuring, Scheduling
• Migration of on-premise data (Oracle/ SQL Server/ DB2/ MongoDB) to Azure Data Lake Store (ADLS) using Azure Data Factory (ADF V1/V2).
• Worked on service-oriented systems that utilize REST web frameworks with Spring MVC, Spring REST templates, Rabbit MQ, Spring Integration.
• Application Deployment on PCF using CF push and urban code deploy. Also, PCF backup for all the environments and set-up Jenkins maven build automation with uploads to Pivotal Cloud Foundry (PCF).
• Used Azure Terraform to deploy the infrastructure necessary to create development, test, and production environments for a software development project.
• Responsible for implementing containerized based applications on Azure Kubernetes by using Azure Kubernetes Service (AKS), Kubernetes Cluster, which are responsible for cluster management, Virtual Network to deploy agent nodes, Ingress API Gateway, MySQL Databases, and Cosmo DB for stateless storage of external data, and set up reverse proxy Nginx in the cluster.
• Implemented Jenkins pipelines into Azure pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods, and managed using AKS. Used Kubernetes to deploy, load balance, scale and manage docker containers with multiple name-spaced versions.
• Utilized Kubernetes and DOCKER for the runtime environment of the CI/CD system to build, test, and Octopus Deploy.
• Involved using JQuery Validation Plug-in for client-side validation.
• Web Portal to easily view the status of current deployments. Integration hooks to data from Jenkins web farm. (ASP.NET MVC 3, Jenkins, C#, WCF, StructureMap, FluentMigrator, SQL Server, JQuery, VMWare).
• Imported and managed multiple corporate applications into Subversion (SVN).
• Setting ACL for running queues in Hadoop and CM and setting up Hbase namespaces and ACL for the project teams.
• Developed and tested many features for the dashboard, created using Bootstrap, CSS, and JAVA Script.
• Expertise in working with Puppet Enterprise and Puppet Open Source. Installed, configured, managed, and upgraded Puppet Master, Agents & Databases. Involved in the headmost Automation Deployment Team by working with a Puppet.
• Utilized Puppet to oversee Wed Applications, Configure Files, DataBase, Commands, User Mount Points, and Packages.
• Followed agile principles and used JIRA for maintenance and Bug development tasks.
• Involved in JIRA as a defect tracking system and configure various workflows, customizations, and plug-ins for JIRA bug/issue tracker integrated Jenkins with JIRA, GitHub.
• Used Groovy for Maintenance & Reporting.
• Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy.
• Building/Maintaining DOCKER container clusters managed by Kubernetes Linux, BASH, GIT, DOCKER, on GCP (Google Cloud Platform).
• Worked with OpenShift platform in managing Docker containers and Kubernetes Clusters.
• Deployed the build artifacts into environments like QA, UAT, and production according to the build life cycle.
• Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
• Build a CI/CD pipeline to automate the process using the Python and BASH script.
• Created and maintained the Python deployment scripts for Tomcat web application servers.
• Configured and worked on static code coverage tools like SonarQube.
• Configured TFS builds with continuous integration and builds notifications.
• Implementation of TFS and Visual Studio integration along with Microsoft Test Manager.
• Configured users and permissions for TFS, SharePoint portals, and Source Control Explorer folders.
• Developed custom solutions in C# and PowerShell to validate availability, consistency, and compliance of environments.
• Reviewed reports from the QA team and other reports from automated tools like SonarQube.
• Developed Python and Shell scripts for automation of the build and release process.
• Involved in editing the existing ANT/MAVEN files in case of errors or changes in the project requirements.
• Responsible for the development and maintenance of processes and associated scripts/tools for automated build, testing, and deployment of the products to various developments.
• Managed Maven project dependencies by creating parent-child relationships between projects.
• Installed, Configured, and Managed Jenkins CI Automation.
• Responsible for the Plugin Management, User Management, Build/Deploy Pipeline Setup, and End-End Job Setup of all the projects.
• Jenkins used it as a continuous integration tool for the automation of the daily process.
• Installed, Configured, and Managed Nexus Repository Manager and all the Repositories.
• Created cookbooks and recipes in Chef for continuous deployment.
• Worked with project documentation and documented other application related issues, bugs on internal wiki website.

Environment: Subversion (SVN), Jenkins, JAVA/J2EE, ANT, MAVEN, MS Azure, CHEF, TC Server, Tomcat, Python Scripts, Shell Scripts, Ansible, XML, UNIX, SonarQube, Windows 7, Oracle, JIRA.

Confidential

Devops/Build & Release Engineer

Responsibilities:

• Performed software configuration/release management activities for three different JAVA applications.
• Designed and implemented a Continuous Integration process using tools like Hudson with approval from development and other affected teams. Defined processes to build and deliver software baselines for internal as well as external customers.
• Converted old builds using MAKE to ANT and XML for doing JAVA build.
• Expertise in using build tools like MAVEN & ANT to frame the deployable artifacts such as jar and war from source code as well as migrating of build tools from Ant and Maven.
• Created and maintained built wrapper scripts using PERL.
• Build JAVA code and .NET code on to different Jenkins servers as per the schedule.
• Migrating J2EE, PHP, .NET, and Cold Fusion applications to UNIX and Windows environments by configuring application via IDE Eclipse, Subversion, and AnthillPro.
• Configuring AnthillPro is a common build engine to build and promote applications to DEV, QMG, UAT, PROD, and DR to UNIX environments.
• Planning to move from VCLOUD to GCP
• Migrated applications to the PKS, GCP cloud.
• Set-up databases in GCP using RDS, storage using S3 bucket, and configuring instance backups to S3 bucket. Prototype CI/CD system with GitLab on GKE utilizing Kubernetes and DOCKER for the runtime environment for the CI/CD systems to build and test and deploy.
• Working closely with Web Administrators to set up an automated deployment for SharePoint applications using Anthill and SVN Tools.
• Setting up continuous integration and formal builds using Bamboo with Artifactory repository.
• Involved in setting up JIRA as a defect tracking system and configured various workflows, customizations, and plugins for the JIRA bug/issue tracker.
• Planned and executed the migration from the Bugzilla-based bug-tracking and Jenkins CI tool into the JIRA.
• Integrated Maven with SVN to manage and deploy project related tags.
• Maintained and executed build scripts by coordinating with development and QA teams.
• Deployed the EAR and WAR archives into WebLogic and Apache Servers.
• Configured and Maintained Apache web servers for Release Management Team's internal use.

Environment: JAVA, .Net, MYSQL, PHP, Ant, Jenkins, Web Logic, ClearQuest, AntHillPro, Subversion, XML, UNIX, VB & Python scripting, MS SharePoint.

Confidential

DevOps Engineer

Responsibilities:

• Migrate SVN repositories to Git and administrate GitLab to manage GitRepositories.
• Build and improve the reliability and performance of cloud applications and cloud infrastructure deployed on Amazon Web Services.
• Create and attach volumes on to EC2 instances.
• Configure AWS VPC with public and private subnets.
• Apply Auto Scaling and Elastic Load Balancing to create high availability and fault tolerance to EC2 instances.
• Install and configured Apache on Ubuntu and Amazon Linux instances.
• Primary duties include Build and Deployment of the java applications onto different environments like Dev, QA, UAT and Prod.
• Deployed J2EE applications to Application servers in an agile continuous integration environment and automated the entire process. Build scripts using ANT and MAVEN build tools in Jenkins, Sonar to move from one environment to other environments.
• Used Jenkins& Puppet to perform automated CI Builds and Deployments.
• Developed and implemented software release management strategies for various applications according to Agile Process.
• Deployed Puppet for configuration management to existing infrastructure.
• Virtualized the servers using the Docker for the test environments and dev-environment needs
• Involved in Installing Jenkins on a Linux machine and created a master and slave configuration to implement multiple parallel builds through a build farm.
• Generated Ant, Perl & UNIX scripts for build activities in QA, Staging and Production environments.
• Build artifacts (war and ear) are deployed into a Web Logic app server by integrating the WLST scripts to Shell Scripts.
• Involved in troubleshooting of user interface using JSP.
• Used Jenkins to perform automated Builds and Deployments.
• Deployed Java applications to application servers in agile continuous integration environment and automated the entire process.
• Expert in User Management and Plug-in Management for Jenkins.
• Deployed the applications to Tomcat Application Server and static content to apache web servers.

Environment: Subversion, TFS 2010 Jenkins,.Net, Apache Ant, WebSphere, Web logic, IBM RTC, C++, JAVA, Windows, Unix scripting, Redhat Linux.