Open to opportunities

Aman Sain

@amansain

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Cloud & DevOps engineer specializing in AWS, Kubernetes, Terraform and CI/CD automation.

India

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What I'm looking for

I seek DevOps/cloud platform roles where I can design secure, automated infrastructure, implement GitOps and observability, and drive cost-optimized, production-ready deployments in collaborative teams.

I am a Cloud & DevOps engineer with hands-on experience designing AWS infrastructure, building GitOps workflows, and automating secure CI/CD pipelines. I have delivered production-ready EKS and ECS platforms using Terraform, Docker, Helm and ArgoCD, optimizing deployments, cost and reliability.

I have practical experience across monitoring, DevSecOps and SRE practices — implementing Prometheus/Grafana monitoring, SonarQube and Trivy scanning, and automated rollback strategies. My internships and projects demonstrate measurable impact: faster deployments, reduced costs, and significant reductions in manual effort and configuration drift.

Experience

Work history, roles, and key accomplishments

Generative AI Intern

NASSCOM

Jun 2025 - Jul 2025 (1 month)

Streamlined scripting workflows using generative AI, lowering manual effort by 25% and produced AI-driven incident summaries that shortened debugging time by 30%.

Generative AI Scripting Prompt Engineering Python Debugging CI CD

Web Developer

National Technical Research Organization

Jun 2024 - Aug 2024 (2 months)

Engineered a Docker-based reporting system (Node.js + MongoDB) improving reporting speed by 60% and unified dev/deploy environments to reduce configuration drift by 90%.

Docker Node MongoDB Containerization CI CD Configuration Management Linux

Education

Degrees, certifications, and relevant coursework

University of Petroleum and Energy Studies

Bachelor of Technology, Computer Science and Engineering (DevOps specialization)

2022 -

Grade: 7.0 CGPA

Pursuing Bachelor of Technology in Computer Science and Engineering with specialization in DevOps; coursework and projects focused on cloud-native architectures, CI/CD, and infrastructure as code.