Devops Engineer with 2+ years in AWS & CI/CD
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DevOps & Backend Engineer with 2.8 years of experience (including 6 months internship) building Jenkins CI/CD pipelines, containerizing workloads with Docker, and managing AWS infrastructure (EC2, RDS, VPC, IAM, S3). Implemented Blue-Green deployments with zero-downtime releases. Independently managed 3+ audit tool deployments and resolved requirements for 5+ major and 10+ medium-to-small clients as a PHP Laravel backend developer. AWS Certified Solutions Architect - Associate.
Arya College of Engineering & IT, Jaipur
B.Tech · Electrical Engineering
August 1, 2019 – June 30, 2023
QDegrees
DevOps & Backend Engineer
March 1, 2024 – Present
Jaipur, Rajasthan, India
QDegrees
Software Engineer Intern
September 1, 2023 – February 1, 2024
Jaipur, Rajasthan, India
Kubernetes Deployment – Dockerized App on Minikube
January 1, 2025 – Present
Deployed multi-container application on Minikube using Kubernetes Deployments, Services, and ConfigMaps; migrated Docker Compose setup to K8s manifests with persistent volumes for stateful data
Jenkins CI/CD Pipeline – Dockerized App on AWS
January 1, 2024 – Present
Automated full pipeline: GitHub push → Jenkins webhook → Docker build → Docker Hub push → SSH deploy on EC2 → Nginx reverse proxy → RDS; eliminated manual deployment steps end-to-end
View ProjectBlue-Green Deployment on AWS with Nginx & CloudFormation
January 1, 2024 – January 1, 2025
Architected 3-EC2 setup (Nginx LB + Blue/Green environments); validated releases on Green via private IP and switched traffic by updating Nginx upstream zero-downtime cutover with rollback in under 30 seconds. Provisioned full infrastructure (VPC, subnets, EC2, security groups) using AWS CloudFormation IaC template
AWS Certified Solutions Architect – Associate (SAA-C03)
AWS
January 1, 2023 – January 1, 2026
Cultural Fit Analysis
The candidate's experience spans both DevOps and Backend Engineering, demonstrating versatility and a willingness to engage with different aspects of the software development lifecycle. The focus on automation, efficiency (zero-downtime deployments), and client problem-solving aligns well with a results-driven culture. The breadth of skills and project diversity suggest adaptability and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience indicate a proactive approach to problem-solving and automation. The ability to independently handle client requirements and debug backend issues suggests strong operational aptitude and client-facing skills. The implementation of complex deployment strategies points to a detail-oriented and resilient work attitude.