jagadeesh r.

Over 3.6 years of experience in the IT industry as a DevOps Engineer, AWS Cloud Engineer and System Engineer, specializing in cloud infrastructure automation and container orchestration.  Proven expertise in Configuration Management, Build, Deployment and Release Management processes.  Extensive experience with a wide range of DevOps tools, including Git, Jenkins, Maven, SonarQube, Ansible, Docker and Kubernetes.  Hands-on experience in Continuous Integration (CI) using Jenkins, along with build management tools such as Maven, SonarQube and Docker.  Automated CI/CD pipelines using Jenkins for smoother and more efficient deployment workflows.  Expertise in Build Automation using Maven, including building WAR/JAR files from source code.  Experience managing build artifacts using the Nexus repository.  In-depth knowledge of Infrastructure as Code (IaC) using Terraform with extensive experience in managing AWS cloud infrastructure.  Proficient in Configuration Management using Ansible for automating infrastructure tasks and ensuring consistency across environments.  Hands-on experience with containerization technologies such as Docker including creating Dockerfiles, building images using Docker Compose and orchestrating containers with Docker Swarm and Kubernetes.  Expertise in integrating Jenkins with GitLab and Maven for job creation and scheduling using Poll SCM.  Proficient in managing Jenkins plugins and automating build processes to optimize CI workflows.  Significant experience with web servers such as Apache HTTP Server and NGINX and application servers like Apache Tomcat.  Comprehensive working knowledge of AWS services including EC2, S3, EBS, RDS, VPC, ELB, Auto-scaling, IAM and Lambda, etc  Strong proficiency with Kubernetes, including cluster setup, orchestration of containerized applications, managing pods and automating deployments with Helm.  Skilled in monitoring and logging systems using CloudWatch and ELK Stack to ensure optimized infrastructure performance and proactive troubleshooting.  Solid foundation in Unix/Linux with expertise in Bash scripting and Python for automation and system management.