Devops Engineer with 2+ years in cloud-native infrastructure on AWS & GCP
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DevOps Engineer with 2+ years of hands-on experience in designing, automating, and managing cloud-native infrastructure on AWS and GCP. Skilled in Kubernetes, Terraform, and CI/CD pipelines, with proven success in reducing deployment time by 40% and improving system reliability through automation, monitoring, and scalable architecture design.
Savitribai Phule Pune University
M.Sc. · Computer Science
August 1, 2022 – June 30, 2022
Savitribai Phule Pune University
B.Sc. · Computer Science
August 1, 2020 – June 30, 2020
Hisan Labs Pvt. Ltd.
DevOps Engineer
May 1, 2025 – Present
India
Tradetron Tech Pvt. Ltd.
Linux Client Support Engineer
January 1, 2023 – January 1, 2024
India
Containerized Node.js Application on AWS ECS Fargate
January 1, 2024 – January 1, 2025
Deployed a Dockerized Node.js application on AWS ECS Fargate (serverless containers). Managed container images using AWS ECR and configured secure IAM roles. Monitored application performance and logs using AWS CloudWatch. Achieved scalable, serverless deployment without managing infrastructure. Focused on transitioning into DevOps by building hands-on projects.
View Project2-Tier Flask Application Deployment on AWS EKS
January 1, 2024 – January 1, 2025
Integrated CI/CD pipeline using Jenkins for automated build and deployment. Deployed a containerized Flask + MySQL application on AWS EKS using Docker and Kubernetes. Managed deployments using Helm charts for reusable and scalable configurations. Exposed application via NodePort and validated end-to-end connectivity. Ensured high availability using Kubernetes orchestration and best practices. Focused on transitioning into DevOps by building hands-on projects.
View ProjectServerless Python API Deployment on AWS
January 1, 2024 – January 1, 2025
Built and deployed a serverless Python HTTP API using AWS Lambda and API Gateway. Automated infrastructure provisioning using Serverless Framework and AWS CloudFormation (IaC). Implemented secure IAM roles and managed deployments via EC2 environment. Enabled scalable, low-maintenance architecture reducing infrastructure overhead. Focused on transitioning into DevOps by building hands-on projects.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a self-driven approach to acquiring DevOps skills, which aligns well with a culture of continuous learning and improvement. The experience with diverse tools and platforms (AWS, GCP, Docker, Kubernetes, Jenkins, Terraform, Prometheus, Grafana, Argo CD) indicates a broad technical curiosity and adaptability. The focus on optimizing processes and reducing manual effort suggests a strong fit for an efficiency-driven and collaborative DevOps environment. The candidate's experience in a support role also implies good problem-solving and communication skills, which are crucial for team collaboration.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to learning and applying DevOps principles. The focus on automation, monitoring, and security integration suggests a strong operational mindset. The candidate's ability to articulate achievements with metrics (e.g., 40% reduction in deployment time, 30% reduction in MTTR) indicates a results-oriented and analytical approach. The transition from Linux Client Support to DevOps Engineer demonstrates adaptability and a clear career trajectory.