SIVANANDA A.

SIVANANDA A.

DevOps Engineer

Dubai , India

Experience: 4 Years

SIVANANDA

Dubai , India

DevOps Engineer

130000 USD / Year

  • Immediate: Available

4 Years

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About Me

DevOps Engineer with 7 years extensive work experience on SRE, Build Release Management process, and AWS cloud computing that includes end-to-end code configuration, automation, and deployments of artifacts for the entire life cycle model in Enterpri...

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Skills

Portfolio Projects

Description

  • Worked on Chef extensively for deployment of AWS EC2 instances, creating custom scripts and managing changes through chef server on its clients and for migrating In-house systems to AWS.

· Experience writing Chef Cookbooks and Recipes to automate the deployment process and to integrating Chef Cookbooks into Jenkins jobs for a continuous delivery framework.

· Worked on multiple application, written Chef Cookbooks, recipes and customized facts for efficient management of the Chef clients.

· Involved in testing the cookbooks using Chef Kitchen, wrote test cases for testing several cookbooks in the environment using Chef Spec, In Spec.

· Worked closely with the development and operations organizations to implement the necessary tools and process to support the automation of builds, deployments, testing and infrastructure (Infrastructure as code) using Chef.

· Involved writing PowerShell and batch scripts for some of the Cookbook related to windows applications.

  • Responsible for orchestrating CI/CD processes by responding to Git triggers, human input, and dependency chains and environment setup.

· Build and Release Engineer for multiple project teams that involved different development teams and multiple simultaneous software releases.

· Involved in the developing/creating Docker Image for Windows/Nano IIS server and push those images to our internal Dockyard registry.

· Worked with Jenkins to Setup the corn jobs and SonarQube analysis, Fortify and set up the slave/Node architecture for distributed builds.

· Extensively worked on Jenkins by configuring slave nodes and different plug-ins for end to end automation of all build and deployments on Linux / Windows environment.

  • Experience in creating customized Docker images, task definitions for ­amazon ECS cluster.
  • Worked with Red Hat OpenShift Container Platform for Docker and Kubernetes, Used Kubernetes to manage containerized applications using its nodes, ConfigMaps, selector, Services and deployed application containers as Pods.
  • Documented the process involved for build, deployment, and troubleshooting on Confluence.

Environment: AWS, Cloud Watch, Web Services, Cloud Formation, Docker, Amazon ECS, Dockers warm, Kubernetes, Splunk, Jira, Git, GitHub, JFrog Artifactory, Jenkins, Groovy, ANT/MAVEN, Chef, Confluence, HPSM, ServiceNow, PagerDuty, Unix/Linux, Python, Shell scripting, RubyDSL, Windows 2008,2012 R2.

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Description

  • Designed, developed and maintained the CI/CD process for APIGEE platform.
  • Experience in creating fully automated CI build and deployment infrastructure and processes for multiple projects using Jenkins.
  • Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins.
  • Branching, Tagging, Release Activities on Version Control Tool like Bitbucket.
  • Experience in resolving issues of merge conflicts and develop Custom Scripts to monitor repositories and Server storage.
  • Worked on setting up Jenkins for enterprise. Also, worked on a creating pipeline jobs for different projects.
  • Succeeded in achieving automation on integrating bitbucket, SonarQube, JMeter, Qmetry and various tools with Jenkins.
  • Automate deployment of IIS web application modules, bindings and configuration settings using a combination of PowerShell scripts and Ansible.
  • Worked on deployment automation of all the micro services to pull image from the private Docker registry and deploy to Docker swarm cluster using Ansible.
  • Installing, configuring and maintaining Continuous Integration, Automation and Configuration Management tools
  • Experience with container-based deployments using Docker, working with Docker files, Docker images, Docker Hub, Docker Compose and Docker registries and Kubernetes.
  • Worked on fully automated CI build and deployment infrastructure and processes for multiple projects using Docker, Jenkins (Cloud bees), SonarQube, VMWare, RHEL, Kubernetes, Artifactory, Ansible & Bitbucket.
  • Strong ability to troubleshoot any issues generated while building, deploying and in production support.
  • Recommended configuration changes and system additions that optimized performance.
  • Assisted Testing teams to build test plans and involved in unit testing and load testing. Approved test cases for requirement verification and to check the functionality of the application.
  • Collaborated with QA team to create and instrument test plan and test cases for User Acceptance Testing and worked with the team on resolving product and document issues.
  • Participated in team meetings weekly, ask questions and provide input on case backlog, technical process, and new processes within the department.
  • Create the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system.
  • Utilize previously acquired technical experience to become actively involved in day-to-day technology team to meet schedules and resolve problems.
  • Worked on different projects on Maximo (Asset Management Tool), Power Billing, Customer Care.
  • Worked on a POC for coding pipelines in enterprise Jenkins (CI Tool).
  • Helped the Product Owner to Prioritize the Product Backlog items for developing Sprint tasks by taking suggestions from the cross-functional development team.
  • Developing Docker images to support development and testing teams and their pipelines and Environment provisioning solutions using Docker.
  • Created Docker images for APIGEE Edge micro gateway for API Management in microservice application
  • Analyzed the Iteration Burn Down charts and reviewed defects.
  • Pivotal project on Kubernetes cluster Management for logging service Internal application running on PremCloud
  • Detailed reporting on pre-and post-deployment activities and tasks.
  • Managed multiple and simultaneous projects using Agile and Waterfall methodologies.

Environment: Jenkins, Docker, Docker Swarm, Kubernetes, APIGEE Edge, .NET Environment, Visual Studio 2017, GIT, Bitbucket, Apache ANT, Maven, Artifactory, Ansible, ELK, JIRA, Confluence, Sonar, Batch, Shell, Groovy, Python.

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