SUMMARY

• 9 years of experience in DevOps, Configuration Management, Build Engineering and Release Management processes, including Building binaries, end - to-end code configuration, and deployments of artifacts for entire life cycle model in Enterprise Applications.
• Extensive experience in Linux/Unix system, Windows, VMware and V-Sphere ESX/ESXienvironments.
• Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, Scrum, and Waterfall methodologies.
• Experience in installing and administrating CI tools like Jenkins, Bamboo and other Tools like Sonarqube, Nexus, GitHub like systems, JIRA, Atlassian stack of tools like, Fisheye, Confluence.
• Good exposure to Version control tools like Git, GitHub, SVN, BitBucket, Clear Case, etc.
• Implemented Continuous Integration and Continuous deployment using various CI Tools like Jenkins, Bamboo.
• Expertise in AWS Resources like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Formation, Cloud Watch, Security Groups, Lambda, ELK, ECS, Snowball, etc.
• Configured Application Life Cycle Management (ALM) tools like JIRA, Trello, to track the progress of the project.
• Integrated Jenkins with the version control tools to pull the latest pushed code.
• Experience in creating Jenkins Environment and configuring end to end build pipelines.
• Expertise in using build tools like MAVEN and ANT for the building of deployable Artifacts such as war and ear from Source Code.
• Experience with orchestration and configuration management tools like Ansible, Chef, Puppet, as I am much Passionate about automation.
• Implemented Chef Cookbooks for OS component configuration to keep AWS server's template minimal.
• Have done cloud migration from physical data center towards Amazon Web services (AWS) and had good understanding with Public, Private and Hybrid Cloud Environments.
• Experience creating pods and clusters in Kubernetes and deploy those using Open Shift.
• Managed Kubernetes charts using Helm and Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files.
• Continuous deployment using Ant, Maven. Perl, Power shell, Shell, Puppet, Chef, Packer, Terraform on to prem, AWS and Azure.
• Good knowledge on protocols and REST and SOAP web services.
• Strong experience in installing Apache HTTPD, JBoss, Tomcat, Jetty, Redis, NodeJS, and HA Proxy.
• Used Docker and Open Shift to manage micro services for development and testing.
• Experience with Bug tracking tool like JIRA. Created and wrote shell scripts (Bash), Ruby, Groovy, Yaml, Json, Python and PowerShell for automating tasks.
• Experience in working with the ELK (Elastic Search, Log stash, Kibana) stack to analyze log data obtained from Microsoft Business Intelligence tools.
• Proficient with container systems like Docker& container orchestration Kubernetes, ECS, AKSclusters.
• Experienced in Administration of Production, Development and Test environments carrying different operating system platforms like Windows, Ubuntu, Red Hat Linux, HTTP, TCP.
• Experienced in Querying RDBMS such as Oracle, MY SQL and SQL Server by using SQL for data integrity.
• Experienced with Handling Cloud environments (AWS and Azure).
• Managed environments DEV, QA, UAT and PROD for various releases and designed instance strategies.
• Well Adverse with the principles and best practices of Software Configuration Management (SCM) processes, which include compiling, packaging, deploying and Application configurations.
• Expert in deploying the code through web application servers like Web Sphere/Web Logic/ ApacheTomcat/JBOSS and Jetty.
• Experience in integrating Unit Tests and Code Quality Analysis Tools like Junit, Cobertura, PMD, Find-bugs, Check-Style, Sonar-Qube and Gerrit for code review.
• Experience in software Build tools like Apache Maven and Apache Ant to write Pom.xml and Build.xml respectively.
• Experience on working with on-premises network, application, server monitoring tools like Nagios, Splunk, AppDynamics and on AWS with Cloud Watch monitoring tool.
• Experience in AWS Cloud Administration which includes services like: EC2, S3 for application or backend service worked on Lambda.
• Responsible for Operating System maintenance activities like upgrading the OS, updating the services and third-party software.

TECHNICAL SKILLS

Operating systems: Windows, Linux, Unix, Ubuntu, Red hat, CentOS, AWS CLI

Build Tools: Ant, Maven, Gradle

Source Code Management: SVN, GIT, Bitbucket, IBM Rational Clear Case, Perforce

Bug Tracker and Testing: JIRA, Junit, Test Flight, Confluence

CI/ CD Tools: Hudson, Jenkins, Bamboo, Team City, Circle CI, Travis CI, Nexus

Configuration Tools: Ansible, Chef, Puppet, Vagrant, Docker, Kubernetes, OPS Work, Terraform, Helm

Networking: VPC, Route 53, LDAP, DNS, FTP, DHCP, SSH, TCP/IP, FTP, SFTP

Databases: MySQL, Mongo DB, Cassandra, PostgreSQL, SQL Server

Monitoring Tools: Splunk, Data dog, Nagios, CloudWatch

Languages: Python, Shell scripting, Bash, Groovy, Java, C++, HTML, XML, NodeJS, JavaScript, Yaml, Json

Cloud Services: Amazon Web services, Google cloud Platform, Microsoft Azure.

Web/App Servers: Nginx, JBoss, Apache HTTP, Tomcat,WebLogic, Web Sphere.

SDLC: Waterfall model, Agile, Scrum

Bug Tracking Tools: JIRA, Remedy, Bugzilla, Service Now

PROFESSIONAL EXPERIENCE

Confidential, MA

Sr. DevOps/AWS Engineer

Responsibilities:

• Creating the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system for all our products.
• Worked on creation and managing IT infrastructure and application stack using AWS Cloud Formation and writing the template file using JSON.
• Experienced in using Build Automation tools like ANT, Maven. Implementing new build framework using Jenkins & Maven as build framework tools.
• Experience in creating JenkinsCI/CDpipelines and good experience in automating deployment pipelines.
• Managed Nexus and Maven repositories to download artifacts during the build process.
• Managed multiple cookbooks in Chef and Implemented environments, roles, and templates in Chef for better environment management.
• Efficiently worked for AWScloud services to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts.
• Expertise in Azure infrastructure management (AzureWeb Roles, Worker Roles, SQL Azure).
• Strong experience in installing and configuring Apache HTTPD, Tomcat, Redis, NodeJS, and HA Proxy.
• Worked on creating and managing IT infrastructure and application stack using AWS Cloud Formation and writing the template file using JSON.
• Expertise in AWS Resources like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Formation, Cloud Watch, Security Groups, Lambda, EFK, ECS, etc.
• Administering AWS Cloud Infrastructure based on Linux/Windows OS.
• Developing scripts for deployment of customer environments into AWS, using Bash and Python.
• Worked with GIT (GitHub), SVN, BitBucket to manage source code. Used Jenkins tool to automate the build process to manage Git.
• Developed Continuous Integration pipeline using Jenkins and developed various Groovy scripts for deploying the applications on to the AWS Cloud and Azure.
• Installing and configuring Apache HTTP server, Tomcat web application servers and Jetty.
• Installing and configuring Jenkins master and slave nodes. Built CI/CD pipeline and managing the infrastructure as code using chef.
• Created and implemented Chef Cookbooks for deployment. And used Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Managed Kubernetes charts using Helm and Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files.
• Implemented a Continuous Integration and Continuous Deployment (CI/CD) pipeline with Docker, Jenkins, GitHub, Maven, AzureContainer Registry (ACR), and Azure Kubernetes Service (AKS).
• Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.
• Integration of ANT/Nexus, Jenkins, Urban Code Deploy with Patterns/Release, Git, Confluence, Jira and Cloud Foundry.
• Responsible for proper functioning DEV/TEST/STG/PROD environments for these applications.
• Experienced in migrate an On-premises Instances or Azure Classic Instances to Azure ARM Subscription with Azure Site Recovery
• Maintained high degree of competency across the Microsoft Application Platform focusing on .NET Framework, WCF, Windows Azure, and SQL Azure.
• Strong use of various scripting languages like Groovy, Shell (Bash), Json, Yaml, Ruby and Python.
• Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes.
• Setup Chef Server, workstation, client and wrote scripts to deploy applications.
• Deployed the applications to Tomcat Application Server and static content to Apache web servers.
• Automated the continuous integration and deployments using Jenkins, Docker, Ansible and AWSCloud Formation Templates.
• Monitoring and implementing security on Azure IAAS VMs and virtual networks. Experience of using Azure backups and Recovery Vault to migrate on premise to Windows Azure in DR on cloud.
• Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
• Experience on working with on-premises network, application, server monitoring tools like Nagios, Splunk and on AWS with Cloud Watch monitoring tool.
• Worked on Docker container to create Docker images for different environments.
• Provided high availability for IaasVMs and PaaS role instances for access from other services in the VNet with Azure Internal Load Balancer
• Converting existing AWS infrastructure to server less architecture (AWS Lambda) deployed via Terraform or AWSCloud formation.
• Written Ansible Playbooks, which is entry point for Server Provisioning, where the automation identified through the tasks using YAML format.
• Very good experience working on continuous integration and Continuous Delivery tools such as Jenkins and Bamboo and did support and backup.
• Working experience of deployment of Java applications through WebLogic/WebSphere Application servers. And build tools like Gradle.
• Implemented and improved process for release management, automated code deployment, configuration management, and monitoring.

Environment: Git, Maven, Ant, Chef, AWS, Azure, Kubernetes, Docker, Helm, Linux, Groovy, Java/J2EE, Web Sphere, Ansible, Windows, Python, Oracle, Shell, SQL, PL/SQL, Teradata, Terraform, MS Excel, MS Office.

Confidential, IL

Sr. DevOps/AWS Engineer

Responsibilities:

• Implemented new process and policies for build process and involved in auditing.
• Worked in designing and implementing continuous integration system using Jenkins by creating Python and Shell scripts.
• Automated the cloud deployments using Puppet, Python and AWS Cloud Formation Templates.
• Worked on setting up Upstream and Downstream Jobs in Jenkins.
• Working and involved in migration (Implementation and Delivery) of existing websites to AEM6.0 .
• Build Data Sync job on Windows Azure to synchronize data from SQL 2012 databases to SQL Azure.
• Worked on Multi project jobs in Jenkins and used pipeline plugin to manage them.
• Implemented AWS solutions using EC2 instances, S3, RDS, EBS, Elastic Load Balancer, Auto-scaling groups, AWS Kinesis, ECS, ELK, SNS, IAM, SQS, Lambda, Cloud Formation Templates (CFT).
• Implemented automated application deployment and written deployment scripts and automation scripts.
• Created and updated Puppet manifests and modules, files, and packages stored in the GIT repository.
• Maintained build related scripts developed in Ant and Maven. Created and modified build configuration files including Ant's build.xml and Maven Pom.xml.
• Developed BASH, PERL, Python shell scripts to automate cron jobs and system maintenance. Scheduled Cron jobs for job automation.
• Worked with Python, Flask, Jenkins, Terraform and incorporating those three services for infrastructure automation project.
• Experience with Microsoft Azure, Azure Resource Management templates, Virtual Networks, Storage, Virtual Machines, and Azure Active Directory.
• Lead Automation deployment team and worked with Puppet, written puppet modules for application deployment.
• Very good understanding of AEM architectural concepts (such as design, deployment, scaling & security)
• Worked with various AWS, EC2 and S3 Command Line Interface (CLI) tools.
• Patched different software using RedHat Package Manager and YUM.
• Automate infrastructure creation, deployment and recovery using Ansible, Docker, Terraform & Jenkins
• Used IAM to create new accounts, roles and groups, policies and permissions.
• Created functions and assigned roles in AWS Lambda to run python scripts and Created Lambda jobs and configured Roles using AWS CLI.
• Built a prototype Azure application that access 3rd party data services via Web Services. The solution dynamically scales, automatically adding/removing cloud-based compute, storage and network resources based upon changing workloads.
• Configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.
• Created monitors, alarms and notifications for EC2 hosts using Cloud Watch.
• Create proof of concepts of technologies to evaluateDocker, Kubernetes, Cassandra, Bamboo, Jenkins, Splunk, and Terraform.
• Installing and configuring Apache HTTP server, Tomcat web application servers and Jetty.
• Worked on M-Collective framework for building server orchestration and parallel job-execution systems.
• Planning and implementing VPCs with multiple availability zones and multiple subnets to meet the dynamic IP requirements.
• Launching and configuring of Amazon EC2 Cloud Servers using AMI's (Linux/Centos) and configuring the servers for specified applications.
• Management of Red Hat Linux user accounts, groups, directories and file permissions.
• Created Branches, Labels and performed Merges in Stash and GIT.
• Developed processes, tools, automation for Jenkins based software for build system &delivering SW Builds.
• Managed Build results in Jenkins and Deployed using workflows.
• Used elastic search through JSON and Java API.
• Wrote deployment recipes for infrastructure management (Terraform).
• Worked on Oracle Databases there by connecting different environments to these databases in lower and production environments.
• Build new Jenkins Jobs for the new AEM instances.
• Designed and implemented fully automated server build management, monitoring and deployment by using DevOps technologies like Puppet.
• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.
• By using JIRA/CONFLUENCE we maintain our product release wikis on confluence and administer JIRA and manage ticketsraised.

Environment: AWS, SQS, Ansible, CICD (Jenkins), Docker, Maven, Linux, Splunk, Terraform, Red Hat ELK, GIT, Cloud Watch, Python, AEM 6.1, Shell Scripting, JSON, AEM 6.0, WebSphere, Tomcat.

Confidential, TX

DevOps/AWS Engineer

Responsibilities:

• Connected continuous integration system with GIT version control repository and continually build as the check-in's come from the developer.
• Versioning and Source control of codes using GIT concepts such as branching, merging, labelling/tagging,
• Branches locking, access control and integration.
• Involved in designing and deploying multiple applications using AWS cloud infrastructure focusing on high availability, fault tolerance and auto-scaling of the instances.
• Leveraged Amazon Web Services like EC2, RDS, EBS, AWS Kinesis, SQS ELB, Auto scaling, AMI, IAM through AWS console and API Integration.
• Developed infrastructure as code with Terraform to deploy VMware and AWS infrastructure
• Created Buckets in AWS and stored files. Enabled Versioning and security for the files stored.
• Created SNS (Simple Notification Services) and triggering it by Cloud Watch monitoring to send SMS or Email to desired recipients.
• Worked on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configurations.
• 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.
• Virtualized the servers on AWS using the Docker, create the Docker files and version control.
• Configured and maintained Jenkins to implement the CI process and integrated the tool with GIT and Maven to schedule the builds.
• Implemented new build framework using Jenkins & maven as build framework tools.
• Configured Jenkins daily periodic backups for Jenkins config and plugins files.
• Worked with data management tools like Splunk, ELK.
• Used Splunk to monitoring/metric collection for applications in a cloud-based environment.
• Worked with Configuration Management automation tool Ansible and has worked on integrating Ansible YAML Scripts.
• Created Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds.
• Worked with Ansible to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages. Ansible to assist in building automation policies.
• Managed a PaaS for deployments using Ansible and Mesos, which reduced considerably deployment risks.
• Involved in building Object Oriented applications using Java, writing Shell Scripts and Python Scripts on UNIX.
• Created and wrote Python and Shell scripts for automating tasks.
• Involved in using Tomcat Web Server, JBOSS, WebLogic and WebSphere Application Servers for deployment.

Environment: AWS, Ansible, CICD (Jenkins), Docker, Maven, Terraform, Splunk, ELK, GIT, Cloud Watch, Python, Shell Scripting, JSON, WebSphere, Tomcat.

Confidential, DE

DevOps Engineer

Responsibilities:

• Modeled and automated the End to End Continuous Integration/Deployment/Delivery pipeline which included building a Continuous Integration server utilizing tools like Jenkins, Arti factory, Maven, GIT and Sonar.
• Responsible for creating and maintaining a IVR portal that implements DevOps (Dashboard) to depicts the overall progress of the project with all sorts of metrics from requirement until delivery.
• Using GIT to manage source code developed by various platform engineers.
• Extensive experience working with AWS provided Solutions like EC2, ELB, VPC, Route 53, RDS, S3, IAM, and Cloud Watch.
• Creating S3 buckets and managing policies for S3 buckets and Utilized S3bucket and Glacier for storage and backup on AWS.
• Involved in designing and deploying a multitude application utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling using deployment of multi stacked environments through AWS Cloud formation templates.
• Managed Amazon Web Services (AWS) infrastructure that automate the Provisioning of AWS Services through Ansible scripts and cloud formation templates.
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS Cloud watch.
• Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our environments.
• Supporting the Application team in making them analyze about the automation implementation.
• Coordinating with QA/DEV/Project/Delivery/Production Support/Managers and Performance teams to consider concerns, issues and addressing those aspects to meet the delivery dates.
• Resolved update, merge and password authentication issues in Jira.
• Monitor scalable infrastructure on Amazon web services (AWS)& configuration management using chef
• Good understanding of Docker Configuration Management Tool.
• Created the strategy for automated build and deployments.
• Perform automated builds on the go when a change is promoted using Jenkins pipeline structure.
• Using Verizon cloud services at production end.
• Manage all CM tools (Artifactory, Maven, Jenkins, and Git) and their usage/process ensuring traceability, repeatability, quality, and support.
• Identifying Cross Functional Dependencies, Monitoring & tracking the release milestones.
• Deployment and Implementation on customer site and integrate the application with the customer's internal systems and process

Environment: Amazon web services, Docker, Jenkins, Arti factory, Maven, GIT, GIT Hub, Chef, SVN, Jira