Jeevan Reddy R

AWS DevOps Engineer with 2+ years of experience in designing, implementing, and managing scalable cloud infrastructures. Skilled in automating deployments, optimizing system performance, and ensuring high availability through modern DevOps practices. Proficient in AWS services (EC2, S3, RDS, IAM, Lambda), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation). Experienced in building CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline) and implementing monitoring solutions (Prometheus, Grafana, CloudWatch). Passionate about cloud security, performance optimization, and driving innovation in Agile environments.

• Reduced infrastructure setup time by 60% through Terraform automation.
• Cut deployment time by 40% by implementing CI/CD pipelines.
• Improved system reliability, reducing downtime by 50% with Kubernetes orchestration.

Key Projects

1. AWS Cloud Infrastructure Automation

• Tech Stack : AWS (EC2, S3, RDS, IAM, VPC), Terraform, Ansible
• Description : Automated AWS infrastructure provisioning using Terraform , ensuring consistency and reliability. Configured VPCs , subnets , security groups , and EC2 instances for scalable production environments. Integrated auto-scaling and Elastic Load Balancing (ELB) to handle dynamic traffic loads.
• Outcome : Reduced infrastructure setup time by 60% , minimized errors, and improved deployment efficiency.

2. Kubernetes-based Microservices Deployment

• Tech Stack : Kubernetes, AWS EKS, Docker, Helm, Prometheus, Grafana
• Description : Deployed a microservices-based application on AWS EKS using Helm charts . Configured horizontal pod autoscaling and implemented rolling updates for zero downtime. Integrated Prometheus and Grafana for real-time monitoring.
• Outcome : Improved system reliability, reducing downtime by 50% , and enhanced performance visibility.

3. CI/CD Pipeline for Cloud-Native Applications

• Tech Stack : Jenkins, GitHub Actions, AWS CodePipeline, Docker, Kubernetes
• Description : Designed a CI/CD pipeline to streamline application deployment. Automated builds, testing, and deployments using Jenkins and GitHub Actions . Containerized applications with Docker and deployed them on Kubernetes clusters.

Outcome : Accelerated release cycles and reduced deployment failures by 70% .