About
AWS DevOps Engineer with 3.3 years of experience designing, automating, and managing cloud infrastructure on AWS. I build CI/CD pipelines with Jenkins and GitHub Actions, provision infrastructure with Terraform, and deploy containerized applications on Amazon EKS using Docker and Kubernetes.
I work closely with production support and incident management — running Root Cause Analysis, applying Infrastructure as Code, and keeping systems observable with Prometheus, Grafana, and Amazon CloudWatch. Security and quality gates (SonarQube, Trivy) are built into every pipeline I own, as part of a broader DevSecOps approach.
Experience
- Designed and optimized 12+ CI/CD pipelines using Jenkins and GitHub Actions, automating build, test, and deployment to Amazon EKS.
- Implemented Rolling Update and Blue-Green deployment strategies on Amazon EKS for zero-downtime releases.
- Built and optimized Docker images for 8+ microservices for consistent, portable deployments across EKS.
- Provisioned AWS infrastructure using reusable Terraform modules with remote state in S3 and state locking via DynamoDB across Dev, QA, and Production.
- Automated server provisioning and configuration using Ansible, Python, and Bash, reducing manual effort by 35%.
- Integrated SonarQube Quality Gates and Trivy scanning into CI/CD, reducing build failures by 30% and scanning 50+ builds for vulnerabilities.
- Set up proactive monitoring and alerting with Prometheus, Grafana, and CloudWatch, reducing production downtime.
- Led RCA and production incident resolution within SLA, cutting resolution time by 20%; reduced overall release time by 40%.
- Built and maintained Jenkins CI/CD pipelines automating build, test, and deployment across Dev, QA, UAT, and Production.
- Provisioned scalable AWS infrastructure with Terraform — EC2, VPC, IAM, S3, Route 53, ALB, Auto Scaling, and EKS.
- Built Docker images and deployed 10+ microservices on Amazon EKS using Helm and Rolling Update strategy.
- Automated provisioning and configuration with Ansible and Bash, reducing manual effort by 50%.
- Configured SonarQube and Nexus in Jenkins pipelines for code quality checks and artifact management.
- Set up monitoring and logging with Prometheus, Grafana, ELK Stack, and CloudWatch, cutting issue identification time by 30%.
- Investigated incidents, ran RCA, and reduced resolution time to 2–3 hours; managed IAM roles and security compliance.
Projects
E-Commerce Platform — Cloud Infrastructure & DevOps Automation
Designed and maintained scalable AWS cloud infrastructure for an e-commerce platform by automating CI/CD pipelines, provisioning infrastructure with Terraform, and deploying containerized microservices on Amazon EKS — improving deployment reliability through IaC, automated quality/security checks, and monitoring.
Key responsibilities & achievements
- 12+ CI/CD pipelines automating build, test, and deployment to Amazon EKS.
- Zero-downtime releases via Rolling Update and Blue-Green deployments.
- 8+ microservices containerized with Docker for portable, consistent deployments.
- Reusable Terraform modules with remote state (S3) and state locking (DynamoDB).
- Image versioning and lifecycle policies in Amazon ECR.
- 35% reduction in manual provisioning effort via Ansible, Python, and Bash.
- 30% fewer build failures via SonarQube Quality Gates; Trivy scanning across 50+ builds.
- 20% faster incident resolution; 40% faster release cycles.
Cloud Infrastructure Automation for FinTech Platform
Supported cloud infrastructure automation and CI/CD implementation for a cloud-native FinTech platform on AWS — contributing to IaC, containerized deployments on Amazon EKS, and monitoring solutions across multiple environments.
Key responsibilities & achievements
- Jenkins CI/CD pipelines across Dev, QA, UAT, and Production.
- Scalable AWS infrastructure via Terraform: EC2, VPC, IAM, S3, Route 53, ALB, Auto Scaling, EKS.
- 10+ microservices deployed on Amazon EKS with Helm and Rolling Update.
- 50% reduction in manual effort via Ansible and Bash automation.
- SonarQube and Nexus integrated into Jenkins for code quality and artifact management.
- 30% faster issue identification via Prometheus, Grafana, ELK Stack, and CloudWatch.
- Incident resolution time reduced to 2–3 hours through RCA.
- IAM roles, security groups, and access controls managed per security standards.
Skills
AWS
DevOps / CI-CD
Containers
IaC / Automation
Monitoring
Security
Scripting
Databases
Other
Education
Bachelor of Technology (B.Tech)
KIET Group of Institutions — Affiliated to Jawaharlal Nehru Technological University, Kakinada (JNTUK)
Graduated: 2021