SUMMARY

• Around 7 years of professional experience in Installation, configuration and troubleshooting of Red hat Linux, Ubuntu and Windows on various hardware platforms and over 5 years in DevOps tools like SVN, GIT, ANT, Maven, Jenkins, Ansible, Chef, Docker, Kubernetes, Terraform and AWS/Azure/GCP cloud.
• Working Experience on Azure Cloud Services,Azure Storage, SQLAzure and in different PaaS Solutions with Web, and worker Roles andAzureWeb Apps.
• Strong Experience in Micro services architecture and Migration of all servers from on - premises to Docker/Kubernetes container technologies in Azure.
• Supported and designed planned systems maintenance activity while minimizing impact to services including -load Balancer, monitoring, metrics and long using Azure cloud resources OMS and security and access control
• Hands on experience onAzureVPN-Point to Site, Virtual networks,AzureCustom security, end security and firewall. UsedAzureExpress Route to set up a private connection to Microsoft cloud services such as a MicrosoftAzure, Office 365, and Dynamic 365.
• Experienced in automating, configuring and deploying instances onAzure, AWS,andRackspace cloudenvironments and Data centers with in depth knowledge onELK Stacks such asElasticsearch, LogstashandKibana.
• Built servers using AWS Cloud Formation scripts: Importing volumes, launching EC2, RDS, assigning roles and policies via IAM, implementing Auto-Scaling, load balancers (ELBs), Security groups in the defined Virtual Private Connection.
• Implemented AWS Lambda functions to run scripts in response to event in Amazon Dynamo DB table or S3 bucket or to HTTP requests using Amazon API Gateway.
• Worked on installing and managing Pivotal Cloud Foundry and migrating application to it. Worked on provisioning Pivotal Cloud Foundry on AWS using CloudFormation
• Migrated few Cloud formation templates to Terraform by using various AWS modules and Secured the Terraform state file in S3 buckets. Used Terraform Plan to meticulously detect and analyze the changes that will be inflicted after Terraform Apply.
• Expertise with Docker images using a Docker file, worked on container snapshots, removing Images and managing Docker volumes. Orchestration of Docker images and Containers using Kubernetes by creating master and node.
• Kubernetes is being used to orchestrate the deployment, scaling and management of Docker Containers.
• Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
• Experience on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical applications quickly, and proactively manage the changes and wrote many playbooks to manage Web applications.
• Experience in installing and configuring the Ansible management node to deploy the configuration to the end user nodes.
• Created Shell scripts (Bash), Ruby, Python, Groovy, YAML and PowerShell for automating tasks.
• Experience in Configuring and Managing logging and monitoring tools such as Nagios, AppDynamics, Prometheus, SumoLogic, Splunk, ELK.
• Expertise in using Chef attributes, Chef templates, Chef recipes and Chef files for managing the configurations across various nodes, build, design and maintain the platform automation using Chef and Involved in setting up Chef Workstation, Nodes, Cookbooks, and Recipes using Ruby Scripting.
• Used Jenkins as Code Deploy plugin to deploy to Azure and extensively worked on other tools like Bamboo, Hudson, and Cruise Control for continuous integration and for all end-to-end automation functions with all build and deployments.
• Integrated Jenkins with Docker container using Cloud bees Docker pipeline plugin and provisioned the EC2 instance using Amazon EC2 plugin.
• Experience leveragingTFS(Team Foundation Server) environments using Visual Studio, .NET and Microsoft SQL Server
• Experience in working on version control systems like Subversion and GIT, clear case, Stash used Source code management client tools like Visual SVN, Tortoise SVN, Stash, Source Tree, GIT Bash, GitHub, GIT GUI and other command line applications etc.
• Experience in JIRA for ticketing and as well as defect tracking system and configure various workflows, customizations and plug-ins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub, Maven.
• Experience in all phases of Software development life cycle (SDLC) with focus on the build and release of quality software and good at Waterfall model, Agile Methodology (Scrum and Kanban).
• Expertise in Linux/UNIX system builds, administration, Installations, Upgrades, Troubleshooting on different distributions such as Ubuntu, CentOS, Red Hat, RHEL 4.x/5.x/6.x2.
• Expertise in dealing with Linux Utilities: KICKSTART, SSH, FTP, autos, Quota Management, wrappers, User Management, Process Management, Memory Management, and Text processing tools. Log Management, Package Management, Disk Management and Swap Partition/Files Management.

TECHNICAL SKILLS

Configuration Management: Ansible, Chef and Puppet

Continuous Integration: Jenkins, Team city, Bamboo

Version Control: Git, SVN and Bitbucket

Build Tools: MAVEN and ANT

Cloud Platforms: AWS, Azure, Google Cloud, OpenStack and PCF

Virtualization Platforms: VMWare, Vagrant

Package Management: Nexus, Artifactory

Issue Tracking: JIRA, Service-Now, Remedy

Containerization: Docker, Kubernetes

Operating Systems: Linux (Red Hat 5/6), Ubuntu, CentOS, Windows and Unix

Databases: MySQL, PostgreSQL, MongoDB, Oracle DB 10g, 11g

Programming Languages: Terraform, CloudFormation and Azure Resource Manager Templates.

Infrastructure spin up tools: JavaScript, XML, HTML, Groovy, Shell script, Ruby and Python.

Web & Application servers: Web logic, Web Sphere, Apache Tomcat and JBOSS.

Logging& Monitoring Tools: Nagios, Sumo Logic, Cloud watch, Splunk, Prometheus, ELK

PROFESSIONAL EXPERIENCE

Sr DevOps/Cloud engineer

Confidential, Dodgeville, WI

Responsibilities:

• Involved in designing and deploying a large application utilizing almost all theAWSstack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high availability, fault tolerance, and auto-scaling inAWSCloud Formation.
• Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for QA and UAT environments as well as infrastructure servers for GIT/Bitbucket.
• Managed IAM policies, providing access to differentAWSresources, design and refine the workflows used to grant access.
• DesignedAWSCloud Formation templates to create custom sized VPC, subnets, to ensure successful deployment of Web applications and database templates.
• Expertise in terraform for building, changing and versioning infrastructure.
• Wrote Terraform scripts to automate AWS services which include Web servers, ELB, Cloud Front distribution, Database, EC2, database security groups and S3 bucket.
• Implemented AWS Code Pipeline and Created Cloud formation JSON templates in Terraform for infrastructure as code.
• Setup and Implement Continuous Integration and Continuous Delivery (CI/CD) Process stack using AWS, GITHUB/GIT, and Jenkins.
• Built Jenkins jobs to create AWS infrastructure from Github repositories containing terraform code.
• Worked on CI/CD tool to automate the build process from version control tool into testing and production environment.
• Create develop and test environments of different applications by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform.
• Created resources, using AWS Terraform modules, and automated infrastructure management.
• Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from dev through production, easing the code development and deployment pipeline by implementing Docker containerization with multiple namespace.
• Integrated Docker container based test infrastructure to Jenkins CI test flow and set up build environment integrating with Git and Jira to trigger builds using Web Hooks and Slave Machines.
• Managed Kubernetes deployments, objects for high availability and scalability using horizontal pod scaler and resources management.
• Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files & releases of Helm packages.
• Worked on Harness for configuring automated Kubernetes deployments.
• Container management using Docker by writing Dockerfiles and set up the automated build on Docker HUB and installed and configured Kubernetes.
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP.
• Established infrastructure and service monitoring using Prometheus and Grafana.
• Experience in using SPLUNK for log analyzing and improving the performance of servers.

Environment: AWS (EC2, EBS, S3, VPC, Code Deploy, Code Commit, Elastic search, Route 53 (DNS), ECS, Cloud Formation, RDS, Dynamo DB, Load Balancers, CloudWatch, SNS, SES, SQS, IAM, Ansible, Terraform, Docker, Kubernetes, Jenkins, GIT, Harness, Jira.

Sr DevOps/Cloud engineer

Confidential, Fremont, CA

Responsibilities:

• Involved in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling.
• Deployed some web apps, managing virtual machines in AZURE platform. Worked inAzureMarketplace where to search, deploy and purchase wide range of applications and services.
• Involved in creating theAzure Services withVirtual Machine. Involved in developing theAzure Solution and Services like IaaS and PaaS.
• ManagedAzure Infrastructure Web Roles, Worker Roles, Storage, AzureAD Licenses, Office365. Created Cache Memory on WindowsAzure to improve the performance of data transfer between SQLAzure and WCF services.
• Managing Azure Express Route to set up a private connection to Microsoft cloud services such as a MicrosoftAzure and Dynamic 365.ConfiguredAzure Virtual Networks, subnets, DHCP address blocks,Azure network settings, DNS settings, security policies and routing. Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private).
• Developed a conical map/reduce-like architectural pattern that that is designed to leverage theAzure platform. Work in progress on POC to migrate to WindowsAzure to address scalability and performance issues.
• Responsible to Configuring and managing Virtual Machines, Storage, network and applications using Windows Azure portal.
• Helping team migrate repositories from different source control systems to TFVC and GIT repositories in VSTS(Azure DevOps). Automating the Microsoft .NET software build, packaging, and deployment processes using TFS and VSTS.
• Involved in Creating, Modifying and Maintaining cloud infrastructure build templates (JSONARM Templates) & code repositories of AZURE DEVOPS(VSTS). Expertise in troubleshooting the builds generated while building, deploying and in production support using VSTS in Azure portal.
• Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager
• Created automated Stack driver monitoring alerts using Terraform on GCP (Google cloud platform).
• Performed lift and shift migration for several on-premises applications to GCP and deployed all the infrastructure components using terraform, built application specific images using Packer.
• Implemented Terraform script to reliably version and create infrastructure on Azure. Created resources, using Azure Terraform modules, and automated infrastructure management.
• Similar infrastructure is deployed to Azure and additional cloud providers or on-premises datacenters using Terraform and managed infrastructure on multiple cloud providers.
• Deployed SplunkEnterprise and enabled Continuous Integration as part of configuration management. Worked on User, Admin groups, maintained accounts and monitored system performance using SplunkSDK.
• Configured Splunkto monitor web applications and created saved search, summary search and summary indexes and OptimizedSplunk for peak performance by splitting Splunkindexing and search activities across different machines.
• Developed Dockerimages using a Dockerfile, worked onDocker container snapshots and managing Docker volumes also deployed using Ansible.
• Setup Docker to automate container deployment through Jenkins and Worked on Docker container to createDocker images for different environments. Worked on creating the Docker containers and Docker consoles for managing the application life cycle.
• Worked on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical applications quickly, and proactively manage the changes and wrote many playbooks to manage Web applications
• Wrote Ansible Playbooks using Python SSH as Wrapper for Managing Configurations of my servers, Nodes, Test Playbooks on Azureinstances using Python. Worked extensively on automation engine Ansible that automates cloud provisioning, configuration management, application deployment.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible Playbooks and has integrated Ansible with Jenkins.
• Created Ansible cloud modules for interacting with Azure services which provides the tools to easily create and orchestrate infrastructure on Azure and automated cloud-native applications in Azure using Azure microservices such asAzure functionsand Kubernetes on Azure.
• Worked on deployments, maintenance and troubleshooting applications on AKS.
• Worked on setting up Jenkins CI/CD Pipelines to deploy to Kubernetes Clusters hosted on Azure AKS.
• Worked with an Agile development team to deliver an end-to-end continuous integration/continuous delivery product in an open source environment using Ansible and Jenkins to get the job done.
• Extensively worked on Continuous Integration (CI) and Continuous Deployment (CD) process by automating build on time basis using Jenkins.Designed the project workflows/pipelines using Jenkins for Continuous Integration and deployment into different Web/Application Server.
• Involved in the functional usage and deployment of applications in WebLogic, WebSphere, IIS and Apache Tomcat Server.
• Virtual Machine Backup and Recover from a Recovery Services Vault using Azure Cloud Shell and Portal. Used PowerShell for troubleshooting remote management of Azure Virtual Machines.
• Used Git as Source code Manager, Phabricator for code review, Git repository hosting, bug tracking, project management, team collaboration tool, Arcanist as a command line interface to Phabricator to create Lint’s for reviewing code.
• Involved on migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and used Python API to upload agent logs into Azure blob storage.
• Worked with different Bug tracking tools like JIRA. Generated reports using JIRA for creating projects, assigning permissions to users and groups for the project and created mail handlers and notifications schemes for JIRA.

Environment: Azure (Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD, Resource Groups, Office365, RBAC), OpenStack, Chef, Ansible, Docker, Kubernetes, Maven, Jenkins, GIT, Cassandra, AEM, Python, Jira.

DevOps/Software Cloud engineer

Confidential, Reading, PA

Responsibilities:

• Build servers using AWS includes importing necessary volumes, launching EC2 instances, S3 for object static webpages and created security groups, auto scaling, load balancer, Route 53 and SNS as per architecture using IAAC tools like Cloud formation JSON Templates.
• Created customized Amazon Machine Images based on already existing AWS EC2 instances by using create image functionality snapshot for disaster recovery. Used Boto3 to automate, Auto scaling policy for automating auto-scaling groups, Elastic load balancers, and launch configurations.
• Leveraged AWScloud services such as EC2, auto scaling and VPC to build secure, highly scalable and flexible systems that handled load on the servers. Implemented TFS Build Archival toAWS Simple Storage Service S3 and created Life Cycles for managing the files in S3.
• Worked with various AWS EC2 and S3 CLI tools. Worked on setting up the life cycle policies to back the data from AWS S3 to AWS Glacier Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.
• Worked in EBS Encryption, S3, and data at rest and data in transit. Created Python scripts to automateAWS Services which includes ELB, Cloud front, Lambda, database security and application configuration also Developed them to take backup of EBS volumes usingAWSLambda, CloudWatch.
• Automate deployments, upgrades and management of Pivotal Cloud Foundry (PCF) foundations and tiles using concourse, python, bosh, om-tool, and vault.
• Hands on experience in deploying the Spring Boot Microservices to Pivotal Cloud Foundry (PCF) using build pack and Jenkins for continuous integration. Automate deployments through CARA on Pivotal Cloud Foundry.
• Assisted the OpenShift team (cloud computing BU) in Partner Marketing efforts by expanding the partner eco system.
• Point team player on OpenShift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, Creation of Pods through new application and control the scaling of pods, troubleshooting pods through SSH and logs, writing/modification of Build configs, templates, Image streams etc.
• Implemented multiple CI/CD pipelines as part of DevOpsrole for on-premises and cloud-based software using Jenkins, Chef and AWS/Docker. Experience with container-based deployments usingDocker, working withDockerimages,Docker Hub andDocker registries andKubernetes.
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform).
• CreatedKubernetesto manage containerized applications using its nodes, Config Maps, selector, Services and deployed application containers as Pods. UtilizedKubernetesfor the runtime environment of the CI/CD system to build, test deploy.
• Configured EC2 instances by writing Terraform templates, Chef cookbooks, recipes and pushed them on to Chef server.
• Wrote Lambda functions in Python for AWS Lambda and invoked Python scripts for data transformations and analytics on large data sets in EMR clusters and AWS Kinesis data streams.
• Automated the cloud deployments using Chef, Python and AWS Cloud Formation Templates and configured Chef to build up services and applications on the instances once they have been configured using Cloud Formation.
• UsingChef, deployed and configuredElastic Search, Logstash and Kibana (ELK)for log analytics, full text search, application monitoring in integration with AWSLambda andCloud Watch.
• Wrote Terraform scripts to automate AWS services which include Web servers, ELB, Cloud Front distribution, Database, EC2, database security groups and S3 bucket.
• Setup and Implement Continuous Integration and Continuous Delivery (CI/CD) Process stack using AWS, GITHUB/GIT, Jenkins and Chef. Built Jenkins jobs to create AWSinfrastructure fromGithub repos containing terraform code.
• Created branches and managed the source code for various applications in GIT. Configured GITwith Jenkins and schedule jobs using Webhooks option.
• Installed, Configured and Administered Jenkins as a continuous integration tool. Programmatically Creating Jenkins job using REST API and Creating jobs using CLI, Integrating several tools with plugins.
• Continuous Integration tools such as Jenkins for automating/Scheduling the build processes and used Jenkins along with Shell and Python scripts to automate routine jobs. CI/CD tools to implement Blue - Green deployment methodology for reducing time in Production environment.
• Configuring and managing an ELK stack, set up the elastic search ELK Stack to collect search and analyze log files from across the servers and integration of Application with monitoring tool New Relic for complete insight and proactive monitoring.
• System configuration/hardening usingIP tables,SE Linux,TCP Wrappers,ACLand traditional permission onLinuxservers as well as restricting access to terminals, disabling unnecessary services and securing.

Environment: AWS (EC2, EBS, S3, VPC, Code Deploy, Code Commit, Elastic search, Lambda, API Gateway, Route 53 (DNS), ECS, Cloud Formation, RDS, Dynamo DB, Load Balancers, CloudWatch, SNS, SES, SQS, IAM, RedShift, Ops Works), Maven, Puppet, Ansible, Docker, Kubernetes, OpenStack, Jenkins, GIT, Python, Datadog, Jira.

DevOps Engineer

Confidential, Blooming Field Hills, MI

Responsibilities:

• Involved in Architect, build and maintain Highly Available secure multi-zone AWScloud infrastructure utilizing Chef with AWSCloud Formation and Jenkins for continuous integration.
• Designed and Deployed large applications utilizing all the AWS stack (Including EC2, ROUTE53, S3, RDS, DYNAMO DB, SNS, SQS, IAM) focusing on high availability, fault tolerance and auto scaling in AWS Cloud Formation.
• Utilized AWS CLI to automate backups for ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups. Managed servers on the Amazon Web services (AWS) platform instances using Puppet, Chef configuration management.
• Developed, evaluated and documented the installation of Splunk for management purpose. Created alerts, Schedule searches and Dashboards using Post Process Search in Splunk.
• Loaded data sources into Splunk including Syslog and log files. Monitored and troubleshoot network in Linux and Windows servers using Splunk.
• Created scripts in Python to automate log rotation of multiple logs from web servers and wrote Python scripts to automate the process of adding SSH-keys, generating passwords in Python.
• Worked on Chef Enterprise Hosted as well as on-premise Chef, installed and configured the workstations, bootstrapped nodes, written cookbooks, recipes and uploaded them on to the Chef-server.
• Installed, Configured, and Managed Monitoring Tools such as Nagios for Resource Monitoring/ Network Monitoring. Automated Nagios alerts and email notifications using Python script and executed them through Chef.
• Written/Developed Chef Cookbooks to automate the entire deployment process to make Infrastructure as a Code.
• Worked on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical applications quickly, and proactively manage the changes and wrote many playbooks to manage Web applications
• Worked extensively on automation engine Ansible that automates cloud provisioning, configuration management, application deployment.
• Worked on creating the Docker containers and Docker consoles for managing the application life cycle.
• Worked to setup Jenkins as a service inside the Docker swarm cluster to reduce the failover downtime to minutes and to automate the Docker containers deployment without using configuration management tool.
• Configuring Jenkins as a common CI engine to build and promote applications to Dev, QA and Staging to Linux environments.
• Developed build and deployment scripts using ANT and Maven as build tools in Jenkins to move from one environment to another environment. Maintained settings.xml in MAVEN for permissions to users and deploying the artifacts directly to Nexus Repository.
• Used ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code.
• Involved in setting up JIRA as defect tracking system and configured various workflows, customizations and plugins for the JIRA bug/issue tracker. Resolved update, merge and password authentication issues in JIRA.
• Improved functionality by writing JavaScript and jQuery to manipulate data from APIs. Resolved technical problems relating to API application by identification and fixing bugs.

Environment: AWS, Ansible, Jenkins, Ant, Chef, Maven, Docker, Docker swarm, JIRA

Sr Build/Release Engineer

Confidential, Wilmington, DE

Responsibilities:

• Coordinated with the Development, Database Administration, QA, and IT Operations teams to ensure there are no resource conflicts. Worked closely with Project Managers to discuss code/configuration release scope and worked on how to confirm a release was successful.
• Build, managed, and continuously improved the build infrastructure for global software development engineering teams including implementation of build scripts, continuous integration infrastructure and deployment tools.
• Developed the Puppet manifests to automate the installation and configuration of middleware WebLogic, WebSphere, Tomcat Application servers. Created the Clusters, Domains, Machines and Servers in the WebLogic Server using the WLST.
• Configured Atlassian Bitbucket with Atlassian Bamboo and schedule jobs using PollSCMoption during CI/CD. Developed scripts to pull and push data from Bitbucket to CI tool Bamboo.
• Setup Bitbucket code repository for mobile development and integrated it with the new active directory.
• Configured Jenkins to build Java Code using Meta Case Software and done C.I process on the Java code generated.
• Used MAVEN to automate the build process. Configured and automated the Jenkins Build jobs for Continuous Integration. Troubleshoot the build issue during the Jenkins build process.
• Responsible for the EBFs (Emergency Bug Fixes) to push them to different environments and monitor their status.
• Performed Merges for each build from Development Branch to Integration Branch. Created the Release Management plan with the implementation schedule.
• Involved in Building and configuring Red Hat Linux Servers using Kickstart server as required for the project. Maintained maximum uptime and maximum performance capacity for enterprise production, QA and UAT/staging.
• Configured and maintained common Linux applications such as Apache, active, NFS, DHCP, BIND, SSH, and SNMP.
• Responsible for administration and maintenance of theActive Directory infrastructure and LDAP enabled security integration.
• Maintained Atlassian JIRA for tracking and updating project defects and tasks.
• Involved in Customization of Work Items, Transition Matrix in TFS. Organized a daily stand-up post-deployment meeting to review all issues being tracked.

Environment: Atlassian JIRA, Atlassian Bitbucket, AWS, Puppet, Visual Build, .Net, ANT, TFS, Atlassian Bamboo.

Build/Release engineer

Confidential

Responsibilities:

• Provided CM and Build support for more than 3 different applications, built and deployed to the production and lower environment. Defined and Implemented CM and Release Management Processes, Policies and Procedures. Installed, configured and maintained application Server like WebSphere and Web Servers like Web Logic, Apache HTTP and Tomcat on UNIX and Linux.
• Have tested various Linux Environments in the Development/Test Stages to help create a better standardized environment and resolutions of any problems if any occurred. Experience in Shell scripts (Bash) for automating tasks for scheduling.
• Created the branches in CVS and Subversion (SVN) to implement the parallel development process. Merged release branches to the trunk after the production release and resolved the conflicts rose during the merge in both CVS and Subversion (SVN).
• Wrote ANT and MAVEN Scripts to automate the build process. Worked on the transition project, which involves migration activities from ANT to MAVEN to standardize the build across all the applications.
• Installed and Configured Jenkins for Continuous Integration. Involved in User Management and Plugin Management for Jenkins. Used Jenkins to perform automated Builds and Deployments.
• Managed the Maven Repository using Nexus tool and used the same to share the snapshots and releases of internal projects.
• Built and Deployed Java/J2EE to Tomcat Application servers in an agile continuous integration process and automated the whole process. Production support of Apache and Tomcat including installation, configuration, management, and troubleshooting.
• Write RESTFUL microservices with Spring Boot. Worked on Microservices and Spring Boot application development. Worked closely with Development team and QA team for product releases.

Environment: SVN, CVS, ANT, Maven, Jenkins, puppet, Tomcat, Perl, Shell Script, Oracle, Spring boot, Spring, security.