Y VIJITH KUMAR REDDY

Results-driven AWS & DevOps Engineer with 4+ years of experience in designing, implementing, and managing scalable cloud infrastructure. Skilled in CI/CD automation, containerization, and Infrastructure as Code (IaC). Proven ability to improve deployment efficiency, reduce downtime, and optimize cloud costs. Strong expertise in build and release management, automation, and cloud-native technologies

• Installed, configured, and managed DevOps tools including Git, Jenkins, Maven, SonarQube, Nexus, Ansible, Docker, Terraform, and Kubernetes
• Designed and implemented branching strategies, merging, and tagging in Git for efficient version control
• Built and maintained CI/CD pipelines to automate build, test, and deployment processes
• Automated build and release workflows using industry-standard tools and scripting
• Developed and maintained Docker files and Docker Compose configurations for containerized applications
• Created and managed Kubernetes manifests, including deployments, services, and config maps
• Automated application deployments in Kubernetes clusters using Docker and Jenkins
• Implemented Infrastructure as Code (IaC) using Terraform and Ansible for consistent and repeatable environments
• Wrote and executed Ansible playbooks for server configuration and application deployment
• Administered and maintained Jenkins CI/CD pipelines, ensuring reliable and efficient builds
• Integrated unit testing and code quality checks using tools like SonarQube
• Managed artifact repositories using Nexus and AWS ECR for Maven and container images
• Containerized applications using Docker to improve portability and scalability
• Worked extensively with Kubernetes, including Pods, Deployments, Services, Rolling Updates, Load Balancers, Autoscaling, and Helm charts
• Hands-on experience with AWS services including EC2, EBS, S3, VPC, ELB, Auto Scaling, Lambda, ECS, EKS, Route 53, RDS, and ECR
• Performed troubleshooting and root cause analysis for production issues
• Worked across multiple environments including Development (Dev), SIT, UAT, and Production (Prod)
• Automated deployment processes for Docker containers and EKS using Jenkins pipelines
• Experienced in working on Linux and Windows operating systems
• Reduced deployment time by 50% by implementing automated CI/CD pipelines
• Improved application availability by implementing Kubernetes auto-scaling and rolling updates
• Enhanced code quality by integrating SonarQube checks into CI pipelines
• Automated infrastructure provisioning, reducing manual effort by 40%