PROFESSIONAL SUMMARY:

• 7 + years of experience in IT industry as AWS/ Google Cloud (GCP) DevOps Engineer in software configuration practices, Build Release Management and tools.
• Build and Deployment Automation, Release Management, Packaging Quality Control, Source Code repository and Cloud Computing Platforms like AWS Cloud.
• Configured and maintained Jenkins to implement the CI process and integrated the tool with MAVEN to schedule the builds.
• Worked on Amazon AWSEC2 cloud services for build, configuring and troubleshooting on various Amazon images.
• Experience on implementing Jenkins builds pipeline flow to handle complex build workflows
• Proficient level of experience on DevOps tools like Docker, GIT, GITHUB, Jenkins, Maven.
• Experience in working with container based deployments using Docker, Docker images, Docker file, Docker Hub, Docker Compose and Docker registries.
• Experience working with Object oriented programming language like Python.
• Well versed with Software development (SDLC), Test life cycle (STLC), and Bug life cycle and worked with testing methodologies like waterfall and agile methodology (SCRUM) with in - depth understanding of the principles and best practices of Software Configuration Management (SCM).
• Experience in using AWS services including EC2, Auto Scaling in launching EC2 instances, Security Groups, ELB, S3, EBS, AMI, VPC.
• Familiar with designing and deploying container-based production clusters using Docker.
• Experienced with Docker container service. Creating Docker files, Docker Images & Containers.
• Worked on Docker Container snapshots, attaching to a running container, removing images, managing directory structures and managing containers.
• Experienced with Docker, Kubernetes and microservices in general.
• Configured Jenkins to automate the build deployments based on the changes captured in Version Control.
• Created and wrote Confidential scripts (Bash), Python and PowerShell for setting up baselines, branching, merging, and automation processes across the environments using SCM tools like GIT, Stash and on Linux and windows platforms.
• Involved in DevOps migration/automation processes for build and deploy systems.
• Knowledge of writing and editingHTMLcode and CSS style sheets for responsive web layouts.
• Experienced in Administration of Development and Test environment's carrying Windows,Linux.
• Installed, Configured, Managed and Created different Build and Deployment Jobs in Jenkins.
• Experience with Scrum and Agile Environments for weekly releases.
• Ability to identify and gather requirements to define a solution to be build and operated on AWS.
• Configured f5 load balancer threshold rules and supported f5 ticket issues
• Experience in Installing and configuring Continuous Integration and Continuous Delivery application JENKINS. Proficient in defining build pipelines in addition to creating and maintaining multiple jobs.
• Implemented Terraformmodules for deployment of various applications across multiple cloud providers.
• Excellent communicative, interpersonal, intuitive, analysis and leadership skills with ability to work efficiently in both independent and team work environments.

TECHNICAL SKILLS:

Operating Systems: Windows, UNIX, LINUX.

Versioning Tools: Subversion, Git,GitHub.

CI/CD Tools: Jenkins

Build Tools: MAVEN and Graddle

Bug Tracking Tools: JIRA, Rally, Remedy, HP Quality Center and IBM Clear Quest, Nagios

Virtualization: Docker, Amazon AWS/EC2

Web Technologies: HTML, Java Script, XML

Web servers: Web logic, Web Sphere, Apache Tomcat

Database: Oracle, MySQL

Others: MS Outlook, Agile, SCRUM, Team Management, Mentoring, Technical .

Cloud Computing: AWS (EC2, ELB, S3, EBS, RDS, EKS, ECS, CloudWatch, SNS, Alarms, Events, Nagios, ELB, IAM, CostManagement, VPC)

Scripting Languages: Python, Confidential Scripting, Power Confidential

PROFESSIONAL EXPERIENCE:

Sr. DevOps/AWS Engineer

Confidential, Austin, TX

Responsibilities:

• Automatically send email notifications when the case codes are expired. This will save lot of cloud resources in an automated way using python.
• Used AWS EC2 service for fetching instance details instance name, instance IP address.
• Involved in creating automated alarms for underutilized resources for EC2, S3, RDS.
• Played a lead role in coordinating with different team members on the task’s s and executions.

  Creation of Jenkins job as and when required by the team.

• Experienced in AWS, Docker, Java, Spring, Microservices and Jenkins.
• Expericed the existing SaaS platform, which consists of on-prem as well as cloud providers like AWS.
• Launching EC2 instances and involved in AWS RDS, S3, Load Balancing, IAM, VPC, Cloud Formation, Lambda, and Cloud Watch.
• Developed Python and Confidential scripts for automation of the build and release process.
• Installed Docker Registry for local upload and download of Docker images and even from Docker hub.
• Used Git for source code version control and integrated withJenkinsfor CI/CDpipeline, code quality tracking and user management with build tools Maven.
• Installed and administered Docker and worked with Docker for convenient environment setup for development and testing.
• Analyse and resolve conflicts related to merging of source code forGIT.
• Developing scripts to automate existing manual build & deployment procedures. Automated deployment operations using various tools inDevOps, Configuration Management, Cloud Infrastructure using Jenkins,GIT
• Experienced in AWS, Docker, Microservices and Jenkins.
• Involved in migrating source code from SubVersion (SVN) to GitHub (no history/partial history/complete history).
• Implemented Automation and Maintaining Build, Delivery and Deployment CI/CD tools with Git, Jenkins, Bit Bucket, Docker Registry and JIRA for Application Environments.
• Experience with specific phases of the software development life cycle, especially Agile, Iterative, and Waterfall.

Environment: AWS,GIT, TFS, Agile, Jenkins, Confidential scripts, Python,UNIX/Linux,Terraform, PowerPoint, Excel and Visio

Sr. DevOps/AWS Engineer

Confidential, Houston, TX

Responsibilities:

• Developed an auto-scaling architecture which works both in EC2 and on premise data centers.Managed hardware, software, and networking for a large-scale cluster on Amazon EC2.
• Involved in designing and deploying a multitude application utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS) focusing on high-availability, fault tolerance, and auto scaling in AWS Cloud formation.
• Worked at optimizing volumes and EC2 instances and created multiple VPC instances.
• Used security groups,scaling groups, load balancers, Monitored EC2 instances with Cloud Watch.
• Created, maintained and administrating GITand Subversion repositories as source code managements.
• Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control.
• Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages.
• Administered and Implemented CI tools like Jenkins for automated builds and to build and implement the end to end automation process.
• Implemented the setup for Master slave architecture to improve the Performance of Jenkins.
• Designed and implemented fully automated server build management, monitoring and deployment by usingDevOpsTechnologies like Puppet.
• Worked on Monitoring systems Nagios and Splunk and repositories Nexus and Artifactory.
• Installed Splunk on Unix and Splunk SOS for monitoring the health of the clusters. Integrated Splunk with Active directory and LDAP authentication.
• Used Confluence in documentation of processes.
• Worked on developing and testing enterprise products, with current focus on cloud-based application and giving solution to challenges imposed by multi data centre deployed SaaS products and their needs for DevOps tools and automation.

Environment: AWS, GIT, Gradle, Docker, Kubernetes, Jenkins,SQL, Confluence,SSH, TELNET, FTP, DHCP,, Python, Confidential, LINUX, UNIX, Bit bucket.

Sr. Devops Engineer

Confidential, Phoenix, AZ

Responsibilities:

• Designed and created multiple deployment strategies using CI/CD Pipeline and configuration management tools with remote execution to ensure zero downtime and shortened automated deployments.
• Experience in developing scripts in various programming languages like Python for automation.
• Good experience in design, build, configuration, migration, administration and performance-tuning of highly available middleware applications.
• Expert in using different source code version control tools like GIT, Subversion and code deployments to QA, Stage & Production environments.
• Expertise in Installation & Setup of code versioning tools like GIT on Linux at client side.
• Experience with deployments on Windows&Linux environments.
• Experienced with deployments, maintenance and troubleshooting applications on AWSEc2.
• Experience in working onDevOps/Agile operations process and expertise in areas like (Unit test automation, Build & Release automation, Environment Management.
• Experience in automating build and deployment workflows using GIT, MAVEN, JENKINS, DOCKER.
• Developed and maintained CI/CD process for enterprise SaaS and on-prem applications using tools like Git,Jenkins.
• Experienced in AWS, Docker, Java, Spring, Microservices and Jenkins.
• Expericed the existing SaaS platform, which consists of on-prem as well as cloud providers like AWS.
• Experience with Docker and clustering frameworks.
• Worked with the automated scripts for theBuildand Deployment of the applications and also Worked onUdeploy, to do the deployments in DEV, QA and UAT.
• Developing scripts to automate existing manual build & deployment procedures. Automated deployment operations using various tools inDevOps, Configuration Management, Cloud Infrastructure using Jenkins,GIT.
• Provided and supported to development & infrastructure teams for TFS to GIT migration.
• Experience in Automation of Release and Deploy configuration management to different environments i.e. QA, Stage and Production and Supported in execution of assigned Change Tasks related to application
• UsedTerraformtemplates to install Pivotal Cloud Foundry (PCF) on IaaS providers AWS,GCP.
• Strong understanding of different SDLC methodologies including Waterfall, Agile etc.
• Support remediation of vulnerabilities across all supported applications
• Setup AWS Firewall rules to allow/deny traffic to and from the VM’s instances based on specified configuration.
• Worked with Agile methodologies to provide CI/CD related Platform and Application SDLC Support.
• Maintained and administered Source Code with Branching, Tagging and Release Activities/Strategies.
• Developed Deployment/Monitoring scripts for Automated deployment, HealthChecks and Implemented rapid-provisioning and lifecycle management for Redhat Linux using custom Bash, Python and Puppet.
• Experience in Automation using Confidential Scripting, Python as required for monitoring, and to enhance the access for users and performance of system.

Environment: GIT, TFS, Agile, Jenkins, Confidential scripts, Python,UNIX/Linux,Terraform, MySQL,MS Word, PowerPoint, Excel and Visio

DevOps Engineer

Confidential, Louisville KY

Responsibilities:

• Experienced in Installing, Configuring and Managing Docker Containers, Docker Images for Web Servers and Applications servers such as Apache Tomcat using Docker and integrated with Amazon MySQL RDS database.
• Virtualized the servers using the Docker for the test environments and dev-environments needs. And also configuration automation using Docker containers.
• Worked on creating the Dockercontainers and Dockerconsoles for managing the application life cycle.
• Developing Dockerimages to support Development and Testing Teams and their pipeline
• To achieve Continuous Delivery goal on high scalable environment, used Dockercoupled with load-balancing tool Nginx.
• Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.Managed multipleAzureaccounts with multiple VPC's for both production and non-prod where primary objectives included automation, build out, integration and cost control.
• Worked on creation of Docker containers and Docker consoles for managing the application life cycle
• Bamboo plan creations and tasks configuring with automatic bamboo deployments
• Created GITHUB repositories including merging and building feature branches.
• Worked on creation of custom Dockercontainer images, tagging and pushing the images
• Created and managed a Docker deployment pipeline for custom application images in the cloud using Jenkins.
• Performing application and system administration tasks, including data backups and scheduled jobs.
• Contributed for daily build processes, including monitoring builds, break/fix management, issue tracking (Jira), and identifying and resolving a wide variety of build-related issues for different products and versions.
• Integrated Jenkins with bamboo for the tracking of the issue and continuous integration.
• Deployedbuildand deployment scripts using ANT and MAVEN asbuildtools in Jenkins to move from one environment to other environments.
• Responsible for building and releasing packages to DEV and QA Environments.
• Performing cleanbuildsper the schedule published for a given release.
• Responsible for design and maintenance of the Subversion Repositories.
• Securing system by implementing organizational policies to system access, monitoring, and controls.
• Managed the source codes repository of multiple development applications using Git.
• Enforced automation inbuildand deployment procedures, executed codebuildsand deployment activities.
• Created and Maintained of Build pipelines, Deployment pipelines, Testing pipelines and Maintenance jobs for various teams.

Environment: AWS, Git, Jenkins, Maven,Linux, Python,Docker, Terraform, Apache.

DevOps Support Engineer

Confidential

Responsibilities:

• Installed and Configured Jenkins to build various jobs for application deployment and test cases execution.
• Worked on AWS EC2 Instances creation, setting up AWS VPC, launching AWS EC2 instances different kind of private and public subnets based on the requirements for each of the applications.
• Worked on AWS Elastic load balancing for deploying applications in high availability and AWS Auto Scaling for providing high availability of applications and EC2 instances based on the load of applications.
• Used AWS S3 to store code bundles to deploy onto AWS EC2 Instances.
• Working on providing DNS management using AWS Route53.
• Worked on Chef for configuration management and infrastructure automation.
• Worked on Chef Automation including writing Cookbooks and customized recipes for test driven development environments and also setup the Chef Workstation, Chef Server and chef nodes.
• Written recipes and cookbooks in Chef for Tomcat, Apache, httpd, MySQL etc.
• Worked on architecting and building solutions leveraging DevOpstools such as Puppet, Chef and Jenkins, Git etc.
• Managed version control tool Git to version code changes to help developers/programmers branch/merge code.
• Installed Jenkins on a Linux machine and created a master and slave configuration through a build farm for implementation of multiple parallel builds.
• Experienced in authoring pom.xml files, performing releases with the Maven release plugins, and managing artifacts in maven internal repository.
• Deployed code on Tomcat Application Servers for Development environments.
• Configured and monitored distributed and multi-platform servers using Nagios.
• Managed the software configurations using Enterprise Chef.

Environment: Amazon Web Services EC2, Maven, Python, Agile, Jenkins, Git,Selenium, Windows 10, Linux.