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Azure/devops Engineer Resume

Houston, TX

SUMMARY

  • 5 years of experience in the IT industry within Continuous Integration, Continuous Deployment, Configuration Management, Release/Build Management, Linux System Administration in multiple Linux environments like Red Hat Enterprise Linux, CentOS, and Cloud automation on AWS, Azure, GCP cloud infrastructure.
  • Expertise in automating builds and deployment processes using Python and Shell scripts with a focus on DevOps tools and AWS, Azure, and GCP Cloud Architecture.
  • Provisioned AWS Cloud which includes services such as EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Autoscaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, and Security Groups.
  • ImplementedAWSLambda functions to run scripts in response to events in Amazon Dynamo DB table, HTTP requests using Amazon API Gateway. Set up and built AWSinfrastructure with various services available by writing cloud formation templates in JSON.
  • Experience in Migrating production infrastructure intoAmazon Web Servicescloud utilizingAWSServer Migration Service(SMS), AWSDBMigration,Elastic Bean Stalk,Cloud Formation, Code Commit & Deploy, EBS, and Ops work.
  • Hands - on experience in working with the Microsoft Azure platform for the building, managing applications and deploying web applications, and created Azure virtual machines.
  • Strong knowledge of various Azure components like Virtual Network, Express Route, Traffic Manager, Load Balancer, Azure Active Directory, Azure AD DS, and Azure DNS.
  • Implementing infrastructure AWS systems and migration of existing Linux and Windows-based infrastructure to AWS and Azure Cloud platforms and automated using Terraform, Cloud Formation Templates.
  • Experience in managing IAM policies with active directory integration to manage security in GCP.
  • Rapidly architected & migrated client's infrastructure to GCP, helping shut down client's legacy data centers.
  • Set up aGCPFirewall rules in order to allow or deny traffic to and from theVM'sinstances based on specified configuration and usedGCPcloudCDN(content delivery network) to deliver content fromGCPcache locations drastically improving user experience and latency.
  • ManagedAzureKubernetes Service to deploy a managed Kubernetes cluster inAzureand created an AKS cluster in theAzureportal, with theAzureCLI, also used template-driven deployment using ARM Templates and Terraform.
  • Extensively involved in infrastructure as code, execution plans, resource graph, and change automation using Terraform.
  • Worked with Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts and managed containerized applications using its nodes.
  • Used Jenkins pipelines to drive all microservices builds out to the container registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
  • Extensively worked on Jenkins for continuous integration from pulling up the code from version control tools like GIT, SVN, CVS, IBM Clear Case, and building Artifacts using build tools like Ant, Maven, and Gradle. And deploying them into artifact repositories like Nexus and Maven.
  • Building Docker images, creating build and deployment configurations to deploy applications on OpenShift. Developed Ansible playbooks to do automated recovery process upon the failure of OpenShift MASTER.
  • Experienced in Installing, Configuring, and Managing Docker Containers, Docker Images for Web Servers andApplications servers as Apache, Tomcat using Docker and integrated Amazon MySQL RDS database.
  • Production experience in large environments using Configuration Management tools Ansible, Chef, and Puppet.
  • Experienced in writing Ansible playbooks to automate the given process and used Ansible Tower as a Configuration Management tool, to automate repetitive tasks, quickly deploy critical applications, and proactively manage changes.
  • Experience in Deploying and configuringChefserver includingbootstrappingofChef-Clientnodes for provisioningand created roles, recipes, cookbooks and uploaded them toChef-Server, managed on site OS, Applications, Services, Packages using Chef as well as AWS for EC2, S3, Route53, and ELB with Chef Cookbook.
  • Highly proficient in configuringChefto build up services and applications on the instances once they have been configured usingcloud formationand writtenrubyscripts forchefautomation.
  • Extensively worked on puppet which includes Installing puppet master, agents, writing manifest files and pushing them to agents for CI/CD process.
  • Experience in branching, tagging, merging, and maintaining the version across the environments using version control tools such as GIT, Bitbucket, and SVN.
  • Experience working with log monitoring tools Syslog and ELK Stack (Elastic Search, Log stash, Kibana), also used Cloud Watch, Nagios, New Relic, and Splunk for monitoring.
  • Configured monitoring of AWS Instances regularly using ops view andNewRelictools.
  • Experienced in Agile/Scrum, Lean methodologies of software development and Continuous Integration (CI) and Continuous Deployment (CD) practices.
  • Experience with ticketing & Project Management tools like JIRA, Azure DevOps, Bugzilla, ServiceNow, and HPQC.
  • In-depth understanding of the principles and best practices of Software Configuration Management (SCM) processes, which include compiling, packaging, deploying, and Application configurations.
  • Worked on integrating JUnit, PMD, and other code quality Tests as a part of the build process.
  • Worked on webservers such as Apache and application servers such as Tomcat, JBOSS, and Web sphere to deploy code.
  • Lavishly worked on Installation, Configuration, and Management of RDS and NoSQL tools such as SQL Server MySQL, DB2, PostgreSQL, and Cassandra.
  • Exposure to scripting languages such as Ruby, Python, Bash, Perl, and Power Shell.
  • Experience in administrating, installation, upgrading, migration, troubleshooting, security, backup, disaster recovery, performance recovery, performance monitoring, and fine-tuning on UNIX (Sun Solaris, red hat Linux) systems.

TECHNICAL SKILLS

Cloud Environments: AWS, Azure, and Google cloud platform (GCP)

Containerization Tools: Docker, Kubernetes, and OpenShift

Configuration Management Tools: Chef, Puppet, and Ansible

Languages/Scripts: C, Shell, Perl, Ruby, PHP, Python, and Bash

Databases: Oracle, MySQL, SQL Server, MongoDB, NoSQL, and Cassandra

Build Tools: ANT, MAVEN, Jenkins, and Azure DevOps

Web Technologies: HTML, CSS, JavaScript, jQuery, Bootstrap, XML, and JSON

Web Servers: Apache Tomcat, Web Sphere, JBOSS, and WebLogic

Monitoring Tools: Splunk, Nagios, ELK, New Relic, Dynatrace, Grafana, Prometheus.

SDLC: Agile and Scrum

Version Control Tools: Git, GitHub, Subversion (SVN), and Bitbucket

Operating Systems: Red Hat, Ubuntu, Linux & Windows, CentOS, and Debian

Bug Tracking Tools: JIRA, Bugzilla, HP Quality Centre, and Remedy.

Testing Tools: JMeter,HP MERCURY (QUALITY CENTER, QTP, LOADRUNNER, AND DIAGNOSTIC)

PROFESSIONAL EXPERIENCE

Azure/DevOps Engineer

Confidential, Houston, TX

Responsibilities:

  • Worked on Azure web application, App services, Azure storage, Azure SQL Database, Virtual machines, Fabric controller, Azure AD, Azure search, AKS, and notification hub.
  • Used Azure service fabric to package, deploy, and manage scalable, and reliable microservices.
  • Automated, Configured, and Deployed Instances on Azure environments and in Data enters and migrating on-premises to Microsoft Azure using Azure Site Recovery, and Azure backups.
  • Worked on Provisioning of IaaS & PaaS Virtual Machines and Web/Worker roles on Microsoft Azure Classic and Resource Manager and troubleshooting issues on Azure VMs.
  • Created validated solutions for data center migration to the Azure cloud environment.
  • Created different templates of ARM under the platform of Azure.
  • Worked on continuous Delivery setup on Azure Kubernetes Service (AKS) cluster using Kubernetes through GIT, Azure Container Registry, and Azure DevOps job as automated Triggers.
  • Used Microsoft Azure for Development, Test, and UAT environments for all customers regardless of final Production platform (SaaS Cloud, Private secure cloud) to speed up development/deployment process and work within CI/CD framework (Team City, Octopus Deploy).
  • Responsible for all AD, IIS, SSL, SSO, SQL, Load Balancing, NSG’s, and VPN configurations for Azure.
  • Implementation of User Defined Routing. Setting upAzure network Security with NSG and Endpoint ACLS.
  • Managed to orchestrate the data to and from Data Lake Store using Azure Data Factory.
  • Worked on deploying the Virtual Machines with Microsoft Monitoring Agent / Operational Management Suite (OMS) Extension using the PowerShell Scripts.
  • Implemented and built CI/CD pipelines with Azure DevOps build tools.
  • Creation of build Agents and maintenance (Patching) of Agent pools of PostgreSQL application pipelines inAzure DevOps.
  • Created Azure Automation Assets, Graphical runbook, PowerShell runbook that will automate specific tasks, deployed AzureAD Connect, configuring Active Directory Federation Service (AD FS) authentication flow, ADFS installation using Azure AD Connect, and involved in administrative tasks that include Build, Design, Deploy of Azure environment.
  • Setting up Virtual networks for site-to-site, Point-to-Site, and Express Route Circuits in Azure.
  • Worked in building services in Google Cloud Platform (GCP) like GCE instances, GKE (Google Kubernetes Engine), Big Query, GCS, Shared VPC, Stack Driver, Load Balancer.
  • Created projects, VPC’s, subnetworks’, GKE Clusters for environments and prod using Terraform.
  • Configuring and deploying instances on GCP environments and Data centers, also familiar with Compute,
  • Kubernetes Engine, Stack driver Monitoring, Elastic Search, and managing security groups.
  • Deployed and supported staging and production workload onGCP.
  • Provisioned the infrastructure in Google cloud (GCP) using Ansible.
  • Automated the cluster provisioning in Google cloud platform (GCP) viaTerraformusing Azure DevOps.
  • Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
  • Migrated the Legacy application into Google Cloud Platform (GCP) and managing the GCP services.
  • Automated creation and deletion of DEV and QA infrastructure using Terraform.
  • Architected, planned, developed & maintained Azure Infrastructure using Terraform templates to build staging and production environments.
  • Using Docker and setting Azure Container Registry with Docker and Docker-compose and actively involved in deployments on Docker using Kubernetes.
  • Installed and configured a private Docker Registry, authored Docker files to run apps in containerized environments, and used Kubernetesto deploy scale, balance the load and manage Docker containers with multiple namespace ids.
  • Maintained and developedDocker imagesfor a tech stack includingCassandra,Kafka,Apache, and several in-house writtenJavaservices running onMicrosoft Azure onKubernetes5
  • Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages. Scheduled, deployed, and managed Container replicas in node cluster using Kubernetes.
  • Designed and implemented fully automated server build, management, monitoring deployment solutions spanning multiple platforms, tools, technologies includingNodes/Agent, Chef, and VMWare.
  • Wrote Chef cookbooks and recipes to Provision Several pre-prod environments consisting of Cassandra DB installations, WebLogic domain creations, and several proprietary middleware installations.
  • Implemented configuration management and version control on chef cookbooks implementing an "Infrastructure as code" methodology to automate build and deployment operations tasks.
  • Setup Grafana with Prometheus to monitor Kubernetes micro-services and Azure Services.
  • Worked on Azure DevOps by installing, configuring, and maintaining for purpose of Continuous Integration (CI) and for end-to-end automation for all build and deployments and creating Azure DevOps CI pipelines.
  • Worked with monitoring tools like Datadog forinfrastructure monitoringandDynatracefor APM,Splunk & ELK stacksforlog monitoring.
  • InstalledDynatracein production for application monitoring, used pure paths to identify slow performing modules and configuredDynatracefor generating custom reports, dashboards, and email alerts.
  • Worked in designing and implementing continuous integration system using Azure DevOps creating Python, Shell scripts.
  • Used GIT as source code management tool, created local repo, cloned the repo, and performed add, commit, push, stash, branching, created tags operations.
  • Created branches to developers and operating them through the GIT and using Bitbucket as our remote repository.
  • Created builds release pipelines in Azure DevOps for .net applications.
  • Hands-on experience to write scripts using Azure PowerShell during automation and built-in process.
  • Wrote Python scripts for pushing data from Mongo DB to MySQL Database.
  • Administered the network issues and resolved operating systems-related issues on Linuxand making sure that the users get the proper environment for testing.
  • Facilitated Load/Stress Testing JAD session with business/technical audience to extract requirements for performance testing effort.
  • Developed load/stress test strategy/plan surrounding SAP SRM and FI/CO business tasks.

Environment: Azure, GCP, Azure DevOps, GIT, SonarQube, Java/J2EE, ANT, Maven, Docker, Kubernetes, chef, puppet, nexus, Dynatrace, MySQL, NoSQL Database, WebLogic, Python, Shell Scripts, XML, UNIX, Linux (RHEL), Stash, PowerShell, Windows XP, Oracle, JIRA, and Bitbucket.

DevOps/Cloud Engineer

Confidential, Dearborn, MI

Responsibilities:

  • Involved in designing and deploying a multitude of applications utilizing almost all theAWS stack(IncludingEC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation. Migrated existing Applications toAWS cloud.
  • Created auto-scaling groups based on memory and CPU usage to handle excessive or underuse workload without needing manual interference. Involved in Automating Regular AWS tasks like snapshots creation usingPython scripts.
  • Worked on PowerShell/Bash scripts to gather resource metrics from AWS EC2 Instances and configured Alerts and Dashboards using AWS Cloud Watch Monitoring.
  • CreatedElastic load-balancers (ELB)for different applications to provide high performance of applications.
  • Configured virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, inbound and outbound Security Groups, Route Tables.
  • Responsible for maintaining 4-5 Different Testing/QA Environments and erection of the PROD Environment in AWS.
  • Worked on Terraform to create stacks in AWS from the scratch and updated the Terraform as per the organization’s requirement on a regular basisand used in AWS Virtual Private Cloud to automatically setup and modify.
  • WrittenTerraformscripts to automateAWS serviceswhich includeELB, CloudFront distribution, RDS,EC2, database security groups,Route 53, VPC, Subnets, Security Groups, andS3Bucket and converted existing AWS infrastructure toAWS Lambdadeployed viaTerraformandAWS CloudFormation.
  • Set up and managedELKStack to collect, search and analyzelog filesacross servers, log monitoring and created geo-mapping visualizations using Kibana in integration withAWS CloudWatchandLambda. Evaluated system logs using ELK software stack.
  • Setting up Virtual networks for site-to-site, Point-to-Site, and Express Route Circuits in Azure.
  • Worked with AzureCloud Terraform API to create infrastructure on Azure as a code, write YAML script to build infrastructure.
  • Implementation of User Defined Routing. Setting upAzure network Security with NSG and Endpoint ACLS.
  • Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting.
  • Changed the existing Terraform templates to Cloud Formation Templates for use in AWS environment.
  • Setup and Implementing Continuous Integration and Continuous Delivery (CI & CD) Process stack using AWS, Azure, GITHUB/GIT, Jenkins, SonarQube, Nexus, Docker, and Ansible.
  • Designed LoadRunner scenarios to accurately emulate the requirements or multiple ADP clients.
  • Integrated SiteScope with LoadRunner to monitor server OS Unix, Windows, Sun and Application DB Performance Siebel, WebLogic, WebSphere, Oracle, SQL Server as well as network performance and availability.
  • Integrated LoadRunner with Quality Center to store scripts, scenarios and results as well as scheduling multiple overnight test runs.
  • Used AWS Elastic Beanstalk for deploying and scaling web applications and services developed with PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, and IIS.
  • Used MAVEN as a build tool on Java projects and written maven POM files from scratch for multi-modules projects for the development of build artifacts on the source code.
  • Created Docker images using a Docker file worked on Docker container snapshots and managing Docker volumes.
  • Used Jenkins and pipelines to containerize and deployed to Kubernetes in AWS.
  • Managed Kubernetes using Helm charts. Created reproducible builds of the Kubernetes applications, managed Kubernetes pods, created nodes and replicated them, and managed releases of Helm packages.
  • Written scripts to containerize using Docker and orchestrate it using Kubernetes & Configured the services using modern DevOps tools, Ansible.
  • UsedAnsible Toolfor Configuration management to automate AWS instances to enable continuous deployments and configure existing servers and create new servers.
  • Wrote Ansible playbooks to automate the installation and configuration of Tomcat, Httpd, WebLogic on AWS EC2 instances and on-premises VM's.
  • Installed and configuredKafka,Zookeeperclusters setup using Ansible Playbook.
  • Experience in writing Docker template for Kafka Producer and consumer Run time.
  • Used extensively selenium for browsers that provide tools for authoring tests.
  • Perform interfacevalidationsand performancetestingto insure no issues with Selenium.
  • Coordinate with developers establishing appropriate branching, labelling /naming conventions using GIT source control and analysed and resolved conflicts related to merging of source code for GIT.
  • UsedJIRAfor tracking and updating project defects and used Rally tool for tracking user stories and backlogs.
  • Coordinated with the Project Management, Development, and QA Team in resolving any configuration and deployment issues to provide a smooth release process.
  • Created artifact files using jar files &POM.xml files & used Apache Tomcat application server for deploying artifacts.
  • Worked with Splunk admin to manage authentication breaches across applications, monitor server's stats.
  • Used Splunk to monitoring/metric collection for applications in a cloud-based environment.
  • Monitored the servers using tools likeNew RelicandNagios. Debugged and solved complexSplunk Integrationchallenges andSplunk configurationissues.
  • Identified and fixed performance issues confidential instant of time by dynamic monitoring through catch point & New relic tools in production environment.
  • Integrate Splunk with AWS deployment using Puppet to collect data from all database server systems into Splunk.
  • Involved in developing custom scripts Python, Ruby, PowerShell, Perl, Shell (bash) to automate jobs.
  • Worked on a variety ofLinuxplatforms Red HatLinux, Solaris which includes installation, configuring, and maintenance of applications on this environment.

Environment: AWS, VPC, Azure DevOps, AWS Lambda, AWS AMIs, Azure, Kubernetes, Docker, Terraform, Git, Maven, Ant, Jenkins, GoCD, SonarQube, Selenium, Ansible, Chef, Nexus, Artifactory, Splunk, Tomcat, Nginx, JIRA, Shell scripts, Python, YAML, Ruby, Groovy, Perl, NoSQL, UNIX, and Linux.

Site Reliability Engineer

Confidential, Pittsburgh, PA

Responsibilities:

  • Actively involved in analysis, detail design, development, bug fixing, and enhancement in Agile methodology. Involved in daily scrum, and sprint planning meetings.
  • Configured AWSEC2 Instances using AMIs and launched instances with requirements of specific applications.
  • Integration of web portal and users associated with an S3 bucket.
  • Managing a team of DevOps engineersfor infrastructure support on AWS cloud. Creating Cloud Formation scripts for hosting software on AWS cloud.
  • Implemented Amazon RDS multi-AZ for automatic failover and high availability at the database tier.
  • Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud Formation templates and deployed AWSresources using it.
  • Extensively worked onJMeterto create Thread Groups and test Web Application for various loads on key business scenarios.
  • Created and executedJMeterscripts for performance testing of portal.
  • Implement a standard DEVSECOPS pipeline cross multiple application development teams.
  • Worked on Cloud Watch for monitoring servers, CPU performance, and memory utilization.
  • Installation of Red Hat Enterprise LINUX. Configuration and troubleshooting for Red Hat LINUX.
  • Implemented continuous integration and deployment solutions to target environments.
  • Continuous Delivery pipeline is given to all application teams as they on-board to Jenkins.
  • Responsible for the Continuous Delivery pipeline given to all application teams as they on-board to Jenkins.
  • Worked in Shell and Python scripting with a focus on DevOpstools, CI/CD, and AWSCloud Architecture.
  • I work in using tools like JIRA for ticketing.
  • Wrote groovy scripting to set up job DSL within Jenkins.
  • Automated the web application testing withJenkinsandSelenium.
  • Installing and configuring Jenkins master and slave nodes. BuiltCI/CDpipeline and managing the infrastructure as code using Ansible. Worked on branching, tagging, and maintaining the version control, and Build pipeline withTFSandGITHUB.
  • Automated theCI/CDusingJenkins,Docker, Ansible,andAWS Cloud Templates.
  • Worked onPuppetfor the deployment of servers with custom scripts. DeployedPuppetfor configuration management toexisting infrastructure.
  • Wrote, maintained, reviewed, and documented modules, manifests, Hieraconfigurations, and Git repositories forPuppetEnterprise on RHEL and Windows platforms.
  • OpenShift automates application builds, deployments, scaling, health management, and more leveraging integrated components from Kubernetes.
  • Designed and configured pods and containers using Kubernetes. worked on the operational tasks and automated monitoring and alerting that will minimize the MTTD and MTTR.
  • Built and configured a process that improves the MTTA, MTTD, and MTTR.
  • Configuring and managing source code usingGit and to resolve merge conflicts.
  • Production environment from a handful AMI's to a single bare metal host running Docker.
  • Worked on lifecycle management of image-based containers by the Docker.
  • Supported and developed tools for integration, automated testing, and release management.
  • Implemented a Continuous Delivery pipeline with Docker.
  • Implemented Continuous Integration using Jenkins and GIT.
  • Extensively worked in using build tools like Maven and ANT for the building of deployable artifacts from source code.
  • Configured application servers (JBOSS) to deploy the code.
  • Knowledge in setting up Baselines, Branching, Patches, Merging, and Automation Processes Using Shell Scripts.

Environment: AWS, EC2, S3, VPC, Route53, Cloud Formation, Puppet, JMeter, Docker, Kubernetes, Maven, ANT, GIT, GITHUB, SVN, JIRA, Shell Scripting, Jenkins, RHEL, and CentOS.

AWS Cloud Engineer

Confidential

Responsibilities:

  • Responsible for designing, implementing and supporting of cloud-based infrastructure and its solutions.
  • Proficient with AWS services like VPC, EC2, S3, ELB, Auto Scaling Groups (ASG), EBS, RDS, IAM, CloudFormation, Route 53, CloudWatch, CloudFront, CloudTrail.
  • Expertise in creating multiple VPC's and public, private subnets as per requirement and distributed them as groups into various availability zones of the VPC.
  • Created NAT gateways and instances to allow communication from the private instances to the internet through bastion hosts.
  • Used security groups, network ACL's, internet gateways and route tables to ensure a secure zone for organization in AWS public cloud.
  • Implemented domain name service (DNS) through route 53 to have highly available and scalable applications.
  • Maintained the monitoring and alerting of production and corporate servers using Cloud Watch service.
  • Created EBS volumes for storing application files for use with EC2 instances whenever they are mounted to them.
  • Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.
  • Experienced in creating RDS instances to serve data through servers for responding to requests.
  • Created snapshots to take backups of the volumes and images to store launch configurations of the EC2 instances.
  • Responsible for Continuous Integration and Continuous Delivery process.
  • Used AWS Lambda to run servers without managing them and to trigger and run code by S3 and SNS.
  • Implemented Cloud Trail to capture the events related to API calls made to AWS infrastructure.
  • Developed installer scripts using Python and UNIX for various products to be hosted on Application Servers.
  • Implementation using Jenkins along with Python and Shell scripts to automate routine jobs.
  • Created function in Lambda that aggregates the data from incoming events, then stored result data in Amazon Dynamo DB and S3.
  • Provided Python build script for building and deploying the application.
  • Implemented Continuous Integration using Jenkins and GIT from scratch.

Environment: AWS (EC2, VPC, ELB, S3, EBS, RDS, Route53, ELB, Cloud Watch, CloudFormation, AWS Auto Scaling, Lambda, Elastic BeanStalk, GIT, SQL, Jira, AWS CLI, Unix/Linux, Ruby, Shell scripting, Jenkins, Chef, Terraform, Nginx, Tomcat, JBoss.

Build and Release Engineer

Confidential

Responsibilities:

  • Maintained and administered GIT source code tool.
  • Participated in weekly release meetings with Technology stakeholders to identify and mitigate potential risks associated with the releases.
  • Installed subversion server on Red Hat Linux boxes. Created subversion repositories, imported projects into newly created subversion repositories as per the standard directory layout.
  • Connected continuous integration system (Jenkins) with GIT version control repository and continually build as the check-in's come from the developer. Defined branching and merging strategies.
  • Created Jenkins pipelines involving several Downstream/Upstream job configurations based on dependencies from other applications & based on Release methodologies.
  • Created various branches for each purpose, merged to release branch and created tags for releases.
  • Interacted with client teams to understand client deployment requests.
  • Integrated JIRA with SVN and created automated release Notes using Perl Scripts.
  • Coordinate with the Development, Database Administration, and QA teams to ensure there are no resource conflicts.
  • Used ticketing tools like JIRA/ Bug tracking / created tickets, generated reports on different bugs and tickets, and solved blocked, and unassigned tickets.
  • Worked closely with Project Managers to understand the code/configuration release scope.
  • Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to another environment.
  • Setup and Implement Continuous Integration and Continuous Delivery (CI & CD) Process stack using AWS, GITHUB/GIT, Jenkins.
  • Involved in repository management in ANT to share snapshots and releases of internal projects using the Nexus tool.
  • As a member of the Release Engineering group, redefined processes and implemented tools for software builds, patch creation, source control, and release tracking and reporting on Unix/Linux platform.
  • Used scripting languages like Python, Ruby, Perl, Bash, and PowerShell for configuration.
  • Configured and maintained Apache web server from open source with Java and Tomcat.
  • Maintained, Administered, and Updated release report using GITHUB Source Code Tool.
  • Developed User Interface and implemented business process using JSP and Servlets.
  • Developed UI using HTML, CSS, JavaScript, JSP, and developed Business Logic.
  • Resolved application and connectivity problems in Java programs.
  • Involved in writing SQL queries and stored procedures for the application.
  • Configuration and administration of Red Hat Linux servers and support for Servers.

Environment: Subversion (SVN), GIT, Jenkins, ANT, MAVEN, Nexus, Linux/Unix, Red Hat.

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