RAGHU. N

Sr. DevOps/ Cloud Engineer

Email: adavra@r.postjobfree.com

Phone: +1-707-***-****

CAREER SUMMARY: -

IT industry experience as a Linux Administrator, DevOps, Build and Release Engineer and Cloud Engineer like Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft (AZURE) with major focus on Continuous Integration, Continuous Delivery and Continuous Deployment.

Expertise on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, Pub/sub, Big-query, stack driver monitoring and cloud deployment manager.

Experienced in providing highly available and fault tolerant applications utilizing orchestration technologies like Kubernetes and Apache Mesos on Google Cloud Platform(GCP).

Experienced in building/maintaining Docker container clusters managed by Kubernetes, Linux, Bash, GIT and Docker on Google Cloud Platform (GCP).

Expertise in Amazon Web Services (AWS), experience in implementing new AWS systems and migration of existing Linux and Windows-based systems to AWS. VMware to AWS migration experience.

Experienced in managing applications by implementing AWS services which includes EC2, S3, EBS, VPC, ELB (Elastic Load Balancing), AMI, SNS, RDS, IAM (Identity &Access Management), KMS, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, OPS Work, Security Groups.

Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.

Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.

Excellent knowledge of Linux including CentOS, Redhat, Ubuntu, Debian, configuration and administration of Red Hat Virtual machines in VMware Environment

Experience in database technology such as Oracle, SQL, MySQL, MSSQL, PostgreSQL, including NoSQL databases.

Experienced using Terraform in AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts.

Proficient in Writing Terraform templates, Involved in Provisioning AWS Infrastructure using Terraform scripts from Jenkins.

Expertise in building CI/CD pipeline, upstream/ downstream projects, multi-branch pipelines with the help of Jenkins and setting up Maven/ANT repositories and to automate everyday builds.

Experienced in branching, tagging and maintaining the version control and source code management tools like GIT (GitHub/Git Lab), SVN (subversion) on Linux and Windows platforms.

Maintaining Continuous Integration, Continuous Delivery and Continuous Deployment in multiple environments like DEV, TEST, STAGE & PROD.

Extensively worked on Hudson/Jenkins and IBM Rational Build Forge for continuous integration and for End-to-End automation for all Build and deployments.

Proficient in build deployment, build scripts and automated solutions using scripting languages such as Bash, shell, Groovy, Ruby and Python.

Automated deployments, scaling, and operations of application containers across clusters of hosts, provided container-centric infrastructure by Kubernetes.

Experienced in using Configuration management tools like Ansible, Chef and Puppet to create reusable Server configurations for easy adaptation across diverse applications and environments.

Experience in using Nexus and JFrog Artifactory Repository Managers for Maven and Ant builds.

Experienced in using software Build tools like Apache Maven, Apache Ant to write Pom.xml and Build.xml respectively.

Experienced in keeping up and looking at log archives using monitoring tools like Nagios, Splunk, CloudWatch, ELK Stack, New Relic and Stack Driver.

Strong experience as an integral part of the 24/7 on-call teams for troubleshooting outages/ issues with applications.

Good Knowledge in Software Development Life Cycles (SDLC) like Waterfall and Agile Scrum.

Quick and excellent learner with high analytical aptitude to master new concepts and applications.

TECHNICAL SKILLS: -

Operating systems

Windows, Unix, Linux (Ubuntu, Red hat).

Virtualization

VMware, Vagrant, Virtual box.

Build Tools

Ant, Maven, Gradle.

Source Code Management

SVN, GIT, Bitbucket, IBM Rational Clear Case.

Bug Tracker and Testing

JIRA, Junit, Confluence, SonarQube.

Containerization

Docker, Kubernetes and ECS.

CI/ CD Tools

Jenkins, Bamboo.

Scripting Languages

Python, Bash, Ruby, Power Shell, YAML.

Configuration Tools

Ansible, Chef, Puppet.

Monitoring Tools

Splunk, Data dog, Nagios.

Cloud Services

AWS, Google cloud Platform.

Web/App Servers

Nginx, JBoss, Apache, Tomcat.

SDLC

Waterfall model, Agile, Scrum.

WORK EXPERIENCE:

Site Reliability Automation Engineer MITEL COMMUNICATIONS Austin, TX. Jan 2019-Present.

Responsibilities:

Automated the deployment of GCP components using Terraform. Components like GCE, GKE, S3, CloudSQL, Networks (security Groups and Routes).

Deployed Applications on GKE using deployment/services yaml files and monitored the logs in Stackdriver.

Built custom data feed automation tool to read Stackdriver's metrics onto on premise VALET dashboard such as Volume, Availability, Latency, Errors and Tickets and used Google API's to get the metrics and created the metrics.

Designed, and deployed a patch management system using Katello, The Foreman, and various custom written Puppet modules for all linux hosts in order to better manage vulnerability other server over the network on production environment with the help of Bash and Perl scripting.

Used Data prep for converting the Raw data to the Redefined data and used Cloud Storage bucket for storing that data and from Cloud Storage exported the data to the PostgreSQL and the Big Query.

Migrated onprem postgres DB to cloudSQL postgres DB. Importing/Exporting SQL files from schemas to s3 buckets.

Configured and used monitoring tools like Nagios/Splunk for monitoring the network bandwidth and the hard drives status and Worked POC on data dog, Splunk integration with PagerDuty.

Created, managed and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration.

Worked on Google source repository for storing code. Pulling and pushing local docker images to Google cloud Repository

Configured a Kubernetes Cluster on GKE and managed, production-ready environment for deploying containerized applications and deployed the Kubernetes dashboard to access the cluster via its web-based user interface.

Created Kubernetes clusters and worked on creating many Pods, Replication controllers, Services deployments, configmaps, secrets, Labels, Health checks and ingress by writing YAML files.

Configured a Google cloud Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources and created several Cyber Security compliance processes for the organization.

written Python script to send the Stackdriver logs using Cloud Function with integration of Pub/Sub and BigQuery and automated all the infrastructure work flows using Terraform.

Automated Project creation, Network Firewall and Compute Instance creation using Terraform and Created Terraform Modules for Postgres-SQL and Monitoring policies for stackdriver.

Involved in Creating Alerts Routing from Stackdriver to PagerDuty Service with Proper Priority and responsible for filtering, aggregating and handling application log entries using Riemann.

Incident management - PagerDuty/DevNoc - engage Infrastructure & other teams (Framework, DBA, network, InfoSec etc.) through escalation/ PagerDuty and sending mass communications(eNotify) to developer community periodically for critical P0/P1 environment issues/outages.

Involved in Production On-Call Support to receive Pager-Duty alerts configured to various communication channels like Hip chat/Teamwork and email.

Experienced working on fluentd sidecar containers to ship logs to Stackdriver, Riemann, Log Stash.

Used JIRA for creating bugs, Tickets, storyboarding, pulling reports from dashboard, creating and planning sprints.

Environment: GCP, Kubernetes (GKE), Stackdriver, Katello, CloudSQL, Terraform, Docker, Puppet, PagerDuty, Riemann, Nagios, Splunk, Data Dog, JIRA.

Sr. Cloud Engineer(Remote) GOOGLE-PSO OHIO. Aug 2018-Jan 2019.

Responsibilities:

Configured and deployed instances on GCP environments and Data centers, also familiar with Compute Engine, Kubernetes Engine, Stack driver Monitoring, and managing security groups.

Installed spinnaker in private GKE cluster with Oauth and SSL Certificates and Enabled stack driver monitoring/Integration with spinnaker.

Configured Spinnaker to trigger when a new container is pushed to GCR using V2 provider and Obtained Let’s encrypt wildcard SSL certificates for domains.

Configured a conditional stage in Spinnaker pipeline to run when a failure occurs and Templatized spinnaker pipelines using Foremast.

Automated the Deployment of spinnaker to GKE using Deployment manager, cloud build and created GIT repo with cloudbuild. yaml file and integrated with Google Cloud Builder(GCB)

Created Deployment Manager Scripts which automates the creation of a GCE VM running Windows and MSSQL with an GLB, ILB.

Worked on Creating Deployment Manager scripts that deploys RHEL 7 machine and Demon set Kubernetes manifests for blacktop/bro IDS deployed on GKE.

Worked on creating Kubernetes cluster with Deployment Manager Scripts and deploy them in GCP environment and monitoring the health of pods using Helm Charts.

Worked on Developing a generic Docker container to run a script that create and update Jira tickets Via Rest API.

Created a Stack Driver Dashboards for blacktop/bro GKE deployment showing logs with example alerts and dashboards to capture APM metrics of applications deployed to GCE and GKE.

created Data Dog dashboards for CPU/memory usage and various micro-services logs running on top of GKE cluster.

Experienced in setting up of DNS on Google cloud, network security, document storage and backup of all instances to the storage.

Used Ansible as an automation & configuration management tool, replicating the configuration of prod servers to our dev & staging environment for environment consistency.

Installed Ansible Tower, which provides an easy-to-use dashboard and role-based access control, so that it's easier to allow individual teams access to use Ansible for their deployments.

Experienced in building, designing and implementing scalable cloud-based web applications for PaaS, IaaS or SaaS using Google Cloud Platform.

Created Kubernetes manifests that uses Vault to store/retrieve secrets and Key Management Service (KMS) to encrypt/decrypt files/keys.

Involved in setting up Disaster Recovery (DR) node for MSSQL with reduced cost and developed Helm charts to create a Cron job in GKE.

written Python script to send the Stack driver logs using Cloud function with integration of Pub/Sub and Big Query and automated all the infrastructure work flows using Terraform.

Exported the Stack driver logs to Pub/Sub and from the Pub/sub sending data to the GCS bucket and the Big Query.

Environment: Spinnaker, Kubernetes, Ansible, Deployment Manager, Stack driver, Datadog, Helm charts, Pub/sub, Big Query, Terraform, Cloud KMS

Sr. AWS DevOps Engineer AUTODESK San Rafael, CA. Apr 2017 –July 2018.

Responsibilities:

Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, Nexus, GitHub, CHEF, Terraform and AWS.

Worked on Amazon Web Services (AWS) like EC2, S3, Glacier, ELB, IAM, DynamoDB, Cloud Trail, Route53, RDS, SNS, SQS and EBS.

Working 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.

Used EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts

Created S3 buckets to back up the files and customized it in JSON format and assign the policies who can access the files. For long term storage and archive files Glacier is used, worked with Amazon IAM console to create custom users and groups.

Worked with EBS (Elastic Block Storage), created volumes and attached to the EC2 instances, created snapshot from that to create a new server with same configurations and monitored the instances using CloudWatch.

Hands on experience in deploying and configuring Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and X-Ray.

Wrote AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.

Used Terraform in AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts.

Provisioned the highly available EC2 Instances using Terraform and wrote new plugins to support new functionality in Terraform.

Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, and IIS.

Implemented a Sonar software quality testing metrics server. Sonar testing metrics executed as a built-in Jenkins plug-in to assist in quality build testing metrics. Clustered WebLogic and JBoss for High Availability.

Developed Sonar blocker violation profiles to report build failures expeditiously to the build and development team.

Configured SonarQube code quality tool and integrated it with Jenkins. Implemented SonarQube to analyze code quality metrics, to verify the coding standards and setup quality gates to allow/fail builds as per requirement.

Involved in Installing Jenkins 2.32.3 on a Linux machine and created a master and slave configuration to implement multiple parallel builds through a build farm.

Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps and deployments.

Worked with building Kubernetes run time environment of the CI/CD system to build, test and deploy in an open source platform.

Wrote GROOVY/Unix scripts to setup CI/CD Pipeline and configure resources and Servers.

Creation of Subnets and Route tables, Internet gateway, Virtual gateway and customer gateway.

Used MySQL, DynamoDB and Elasticache to perform basic database administration.

Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.

Assisted Engineering team with expanding the security requirements on Linux Installed and Configured the Nexus repository manager for sharing the artifacts within the company.

Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to Chef-server, Managed On-site OS/Applications/Services/ Packages using Chef as well as AWS for EC2/S3&ELB with Chef Cookbooks.

Written scripting languages like Bash, Perl and Ruby and customized facts for efficient management of the Chef clients.

Implemented the automated Nagios in Ops environment for alerts and email notifications using Python script and executed them through Chef. Used Perl and shell scripts for automation of the build and release process & to perform deployments to JBoss and Tomcat Web servers.

Implemented and maintained the monitoring and alerting of production and corporate servers/storage using Splunk.

Implemented JIRA to track all issues pertaining to the software development lifecycle and Integrated JIRA with GIT repositories created automated release notes using Python Scripting

Developed Ansible to manage Web applications, Environments configuration Files, Users, Mount points and Packages. Implemented Continuous Integration using Jenkins and GIT.

Provided WLST and configured various WebLogic components/services via python scripts.

HTTP/HTTPS, File Transfer Protocol (FTP), network file system (NFS) and server message block (SMB), Simple Mail Transfer Protocol (SMTP), secure shell (SSH) and Network Time Protocol (NTP)

Environment: Lambda, AWS CLI, AWS Auto Scaling, Terraform, sonarqube, Chef, Docker, Kubernetes, JIRA, ELKstack, MySQL, Python, Ruby, Nagios, Splunk, Shell scripting, Groovy, Git, Nexus, Jenkins, Maven, Redhat Linux and Windows.

Sr. DevOps/Cloud engineer MOODY’S ANALYTICS Omaha, NE. May 2016 – Mar 2017

Responsibilities:

Created AWS S3 buckets, performed folder management in each bucket, Managed cloud trail logs and objects within each bucket.

Created alarms and trigger points in Cloud Watch based on thresholds and monitored the server's performance, CPU Utilization, disk usage and Utilized AWS Cloud Watch services to monitor environment for operational & performance metrics during load testing.

Worked on m3 xlarge instance type for Active Directory and Remote Desktop Gateway instances, and the high-configured instance type for network address translation (NAT) instances.

Used Amazon Web Services integrated cloud service as we initiated the process of migration from AWS to Microsoft Azure.

Deployed and managing many servers utilizing both traditional Microsoft Azure and with the Chef Platform configuration system. And good understanding on Knife, Chef Bootstrap process.

Configured Azure Multi-Factor Authentication as a part of Azure AD Premium to securely authenticate users and worked on Azure VPN-Point to Site, Virtual networks, Azure Custom security, endpoint security and firewall.

Migrated SQL Server database to Windows Azure SQL database and updated Connection Strings and Responsible for the availability, security, access, backup, and performance of the cloud architecture.

Good Knowledge of container and cluster orchestration technologies, such as Docker, Mesos, Marathon, Kubernetes, Terraform.

Deployed docker containers in Kubernetes and Managing Pods and deployments on Kubernetes cluster. Setting up DevOps pipeline for solutions involving containers and orchestration

Development and maintenance of Virtual Machine (VM) and Container images for cloud-based solutions.

Worked on Continuous Integration/Continuous Delivery (CI/CD), Test Driven Development (TDD) and Agile methodologies

Created and updated chef recipes and cookbooks, profiles and roles using Ruby and JSON scripting Migration of all nodes from Puppet Configuration system to Chef System.

Used ANT and MAVEN as build tools on Java projects for the development of build artifacts on the source code.

Designed and developed automated deployment and scaling processes based on Vagrant and Chef for a wide range of server types and application tiers, including Elasticsearch and other available tools.

Installed and setting up the Chef repo, Chef work stations and Chef nodes, Development of Chef Recipes through Knife command-line tool to create Chef cookbooks to manage systems configuration

Hands on experience in using Elastic container services / Azure Container Services.

Designing, setting up from scratch, and scaling continuous build, integration and deployment process from development to production multiple times a day using tools like Jenkins, Artifactory, Nexus, maven, Ant, rpm and pop.

Helped in migration of existing MYSQL and ORACLE databases to the cloud using Azure Database Migration service and schema conversion.

Written scripts in terraform when required and Parser files of complexity when required.

created Docker containers leveraging existing Linux Containers and AMI's in addition to creating Docker containers from scratch.

Configured/administered Splunk with forwarder configuration, deployment, search heads, indexing, and data source configurations for log monitoring.

Used Nagios as monitoring tool to identify, resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services

Build release of Cloud based products containing Linux and Windows environments, using Python Scripting and PERL

Worked with JIRA for creating Projects, assigning permissions to users and groups for the projects & Created Mail handlers and notification Schemes for JIRA.

Environment: Chef, Nagios, Splunk, Python Scripting, PERL, Microsoft Azure, AWS, Docker, Open Shift, Nexus, Kubernetes, Elastic container services / Azure Container Services, JIRA, Terraform, Jenkins

AWS –DevOps Engineer WOLTERS KLUWER HEALTH Philadelphia, PA. Aug 2015 – Apr 2016

Responsibilities

Worked in creating S3 Buckets with configurations to secure the S3 bucket and appropriate access provisioned via IAM.

Built Json Script Template for creating VPC, Subnets, Network Interface, EC2 Instances, Cloud Trail for API monitoring, Cloud watch of the resources, Cognito for access control to your web, RDS with Postgres, S3 for cloud watch log storage with two different Availability Zones.

Created monitors, alarms and notifications for EC2 hosts using Cloud Watch.

Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud Front distribution, database, EC2 and database security groups, S3 bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks.

Worked on Creating Web Servers and App Servers in the Stack and wrote Json Script for creating RDS with Replications.

Analyzed Cassandra database and compared it with other open-source NoSQL database to find which of them better suites the current requirement.

Involved actively in migrations of J2EE applications running under BEA WebLogic server 9.x to Jboss Application Server 5.1.2

Utilized Jenkins for enterprise scale infrastructure configuration and application deployments - checking out code from SVN and use Ant/Maven to build War/Ear artifacts.

Built and Deployed Java/J2EE applications on JBoss application server in an Agile continuous integration environment and automated the whole process.

Implemented End to End automated CI/CD pipeline for build and deployments using Jenkins, groovy & shell scripting with stages like checkout, unit testing, build and package.

Installed plug-ins, configured security, created a master and slaves for implementation of multiple parallel builds.

Installed Docker, and created virtual instances with Docker, running containers, creating named volumes, bind mounts, compose for test and development, service, service updates, health checks, working with registries.

Used Docker Swarm for developing Multi-node and Multi-Service Drupal content management application for inhouse. Docker Accelerate the path to the modern App Architecture, IT Infrastructure Optimization.

Developed Docker images to support development and testing teams and their pipelines and Environment provisioning solutions using Docker and getting images from Docker hub.

Installed and configured Chef Server, workstation and nodes via CLI tools and wrote Docker file to create new images based on working environments for testing purposes before deployment.

Built Java applications using ANT and MAVEN and deployed JAVA/J2EE applications through Tomcat application servers.

Configured TFS to run continuous integration of builds and execute unit test on all check-ins for ASP .NET Web Applications.

Deployed J2EE application EAR to Testing and Production environment using Web Sphere.

Implemented performance capacity and availability monitoring using tools like Nagios, Data dog.

Created and Extensively used Octopus deploy Automation for .Net Application By setting a transformed variable to change config files accordingly.

Wrote puppet manifests for deploying, configuring, managing and are collected for metric collection and monitoring

Environment: AWS, JSON, Python, Cassandra, Chef, Octopus deploy, J2EE, .NET, Docker, Jenkins, Puppet, Maven, SVN, Unit testing, Groovy, Tomcat, Nagios, Data dog, shell script, Bash, Red Hat, CentOS.

Build and Release Engineer BLUE CROSS BLUE SHIELD OF TENNESSEE Chattanooga, TN. Jun 2014 – Jul 2015

Responsibilities:

Delivered architecture designs and solutions for public, private and Hybrid clouds covering the cloud architecture tiers and portfolios of cloud services.

Installed, Configured and automated the Jenkins Build jobs for Continuous Integration and AWS Deployment pipelines using various plugins like Jenkins EC2 plugin and Jenkins Cloud Formation plugin.

Used EC2 as virtual servers to host Git, Jenkins and converting manual procedures to dynamic API generated procedures.

Created Release Plan, definition, collection, analysis, and presentation of release project metrics.

Creation of Build&Release Plan, collection, analysis & presentation of Project Metrics on weekly basis.

Implemented & Maintained the Branching and Build/Release strategies utilizing GIT source code management.

Deployed JAR, WAR & EAR artifacts into the WebLogic servers and Apache servers.

Setup the Jenkins server with complete Maven build jobs providing a continuous, automated scheduled QA build environment based on multiple SVN repositories for deployments.

Responsible for User Management, Administration, Group Management, Slave Management, new job setup in Jenkins.

Extensive experience of working with the release and deployment of large-scale .NET Web applications using the tools like MS Build and MS test.

Used ANT and MAVEN as a build tools on java projects for the development of build Artifacts on the source code.

Worked with transition project that involved migration activities from ANT to MAVEN to standardize build across all applications. Used Nexus as a repository in Maven, worked with Snapshots and releases.

Installed and configured code rules, keys of Sonar for code analysis and created of SonarQube dashboards for different team members based on their roles to monitor the progress of project source code.

Worked on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configurations.

Developed Python code to extract information from XML files using DOM Modules.

Automated the java and .NET projects end to end using pipelines which includes build, run tests, static code analysis, publishing to VM ware and JFrog Arti factory, deployment and running the smoke tests.

Perform periodic system audits on all environments to ensure that only controlled versions of software reside all environments. Used Puppet to maintain configuration on Linux servers.

Environment: AWS, Jenkins, GIT, Subversion (SVN), maven, .NET, Nexus, Shell, Python, Docker, Tomcat, SonarQube, Puppet, ClearQuest, JFrog.

Build and Release Engineer BLUE STAR INFOTECH Bangalore, India. Aug 2012 – May 2014

Responsibilities:

Implemented Cloud Infrastructure as a Service environment using open source technology Open Stack to enable portability of cloud services across hybrid cloud environments.

Build and release software baselines, code merges, branch and label creation and interfaced between development and infrastructure. Performed all necessary day-to-day Git operations.

Developed and implemented Software Release Management strategies for various applications according to the agile process.

Building and monitoring in the project has been done continuously with a CI Tools like Jenkins.

Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.

Configured SonarQube code quality tool and integrated with Jenkins.

Integrated Maven with GIT to manage and deploy project related tags.

Deployment of the Business processes by creating JAR, WAR and EAR files to IBM Web Logic application servers.

Deployed the Java applications into web application servers like Apache Tomcat.

Worked on creating repositories in GIT Stash for multiple applications

Used Maven as a build tools on java projects for the development of build artifacts on the source code.

Created build/deploy documentation in confluence for various applications.

Wrote Puppet manifests files for all applications to manage the configuration files and to manage them as services.

Constructed the Puppet modules for continuous deployment and worked on Jenkins for continuous integration.

Installed packages using YUM and Redhat Package Manager (RPM) on various servers.

Used Atlassian JIRA as issue tracking and ticketing tool.

Implemented GITHUB branching and merging operations for Java Source Code.

Environment: Subversion, Git-Stash, Jenkins, Ant, Maven, SonarQube, Puppet, JIRA, LINUX, XML, Apache Tomcat, Oracle, Perl Scripts, Shell scripts.

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