Gopinath M

Around 5.5 years of Experience in IT Industry. Dedicated and highly skilled AWS,GCP with DevOps Engineer professional and experience in implementing and optimizing Continuous Integration and Deployment (CI/CD) pipelines into various environments with zero downtime. Seeking a challenging DevOps role to leverage expertise in AWS,GCP automation, and distributed application

Experienced with AWS Cloud platform to automate, which includes EC2, S3, ECR, EKS, ELB, Route 53, VPC, EBS, SNS, RDS, and Cloud Watch. Implemented and supported CI/CD Pipelines, utilizing tools such as Bitbucket, Jenkins, Maven, NPM, SonarQube, Nexus artifactory, Docker, Helm, and EKS to ensure efficient and reliable software for cloud-based applications with zero downtime deployments into AWS cloud. Maintained SCM standards for Bitbucket, improve practices of branching and code merge. In SDLC practice, utilized Atlassian tools such as Jira for agile project management and tracking tasks resulting in improved project visibility and on-time delivery. Documented the DevOps process in Atlassian confluence. Introduced automation to enhance coding efficiency, reducing manual tasks, and accelerating development cycles. Experience in setting up and configuring monitoring solutions, specifically Prometheus and Grafana, to ensure real-time visibility and performance analysis of complex systems and applications. Created metrics and monitoring alerts using SNS and CloudWatch dashboards. Good Experience in writing Shell scripts to automate the several activities. Working with Amazon Web Services (AWS services like EC2, S3, EBS, VPC, ELB, Auto scaling groups, Target groups, IAM, SNS, cloud watch, and IAM). Generating the SonarQube report by integrating SonarQube in CI/CD pipeline. Experience in creating quality profiles and quality gates as per developer’s requirement. Maintained stateless microservice applications. Configured and managed Helm charts for application packaging, simplifying deployment and version management. Managed EKS cluster using Helm. Ensured Pods are in running status. Implemented readiness probe and liveness probe for the Kubernetes deployments. Configured HPA to scale and descale pods automatically. Integrated metrics-server to track the CPU and memory utilization of pods of EKS cluster. Using Terraform, managed AWS infrastructure and launched AWS services such as EC2 instance. Migrated Containerization applications from Open shift Platform to GKE Cluster. Worked with Docker for convenient environment setup for development and testing. Worked on Docker container snapshots, attaching to a running container, removing images, managing directory structures, and managing containers. Docker images and handling multiple images and Docker Registry. Worked on Orchestration through Docker and Kubernetes Automated cloud infrastructure using Ansible and Terraform on multiple Cloud Servers. Ability to build deployment, build scripts and automated solutions using shell scripting, Groovy and Python. Have a good knowledge of Nagios and experience in monitoring tools like Splunk. Experience in using version controller tools like GIT, GitHub, GitLab Hands on expertise to setup, configure continuous build processes using Jenkins, Maven, Git. Automated Deployment to all environments (Dev, QA, SIT, Performance Test and Staging/UAT, Prod) Hands on installation of application services: Apache HTTPD, Tomcat, MySQL, and write Automation scripts for configure, Apache Tomcat, MySQL. Versioning and Artifactory Repository Management. Keeping track of all builds and versioning the builds for backup strategy. Committed team player with strong analytical and problem-solving skills, Willingness to relocate and ability to quickly adapt to new environments & technologies