V Kari

About V Kari

As a DevOps Engineer with over 8 years of experience, I have specialized expertise in the field of Azure Devops. My passion lies in creating efficient and reliable software delivery pipelines, automating build processes, and ensuring smooth deployments across various environments. With a deep understanding of both development and operations aspects, I have successfully implemented end-to-end CI/CD solutions and streamlined release management for complex software projects.I am confident that I will be a good addition to any team.

Experience

1. Azure Devops Engineer

   Johnson & Johnson

   Dec 2021 — Present · US

   Created and maintained the software release management and procedures.• Implemented Large Scale Cloud Infrastructure (250+ servers) using AWS resources - IAM, Elastic IP, Elastic Storage, Auto Scaling, VPC, EC2, EBS, APIs ELB, Route 53, RDS, SES, SNS, SQS, OpsWorks, EMR, RedShift, Cloud Formation, CDN, KMS, S3, LAMDA (Server less), Elastic Bean stalk, ECS, Cloud Front, Snow Ball.• Implemented Configuration Management tools like Ansible to provision, manage, and maintain servers running on AWS.• Provided daily Subversion support for all relevant projects in a comprehensive manner.• Chef was created and put into operation, along with the internal best practices, cookbooks, automatic cookbook Cl, and CD system. made use of Test-Kitchen for testing and development, Thor for versioning, Berkshelf for dependency management, and Jenkins for Chef CI.• Assisted with the installation, upgrade, and troubleshooting of JAWS and AutoSys as well as with the documentation and procedures.• Helm-managed charts in Kubernetes. created repeatable builds of the Kubernetes applications, templated Kubernetes manifests, provided a set of configuration settings to modify the deployment, and Helm package releases that have been carefully controlled.• 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.• Architecture/design and deployment of solutions using VMWare, Azure and Amazon Web Services (AWS). • production-ready Kubernetes cloud architecture with microservice container orchestration that is load-balanced, highly available, fault-tolerant, and auto-scaling was implemented.• Worked on Terraform for AWS Cloud Formation, we deployed Docker on AWS and created, updated, and versioned our AWS architecture.• created clusters using Kubernetes and worked on authoring Yaml files to create several pods, replication controllers, replica sets, services