AWS Cloud Platform Engineer & IaC Automation

Nishant Raghav

Cloud Platform Engineer—AWS—Platform Engineering—Infrastructure Automation—IaC—Python— DevOps—Cloud Governance

+91-836******* *****************@*****.*** LinkedIn Summary

Cloud Platform Engineer with 5+ years of experience designing and automating enterprise-scale AWS infrastructure supporting 350+ AWS accounts and USD 5M+ annual cloud spend. Skilled in AWS Organizations, CloudFormation, Lambda, Step Functions, Infrastructure as Code and Platform Engineering for secure multi-account AWS environments. Experience

Samsung R&D Institute India Aug 2021 - Present

Cloud Platform Engineer

Enterprise AWS Account Provisioning Automation

– Architected an enterprise AWS Account Factory using AWS Organizations, Lambda, Step Functions and CloudFormation, reducing account provisioning time from 2–3 hours to under 10 minutes while standardizing governance across 350+ AWS accounts.

– Automated provisioning of IAM Roles, IAM Groups, security policies and CloudFormation StackSets, reducing onboarding effort by over 90% while enforcing standardized governance across 110+ engineering teams.

– Implemented GitHub-driven CI/CD automation using YAML, Amazon S3, Lambda and CloudFormation StackSets, reducing manual infrastructure operations by over 90% across enterprise AWS environments. Organization-wide Resource Management Automation

– Developed a centralized IaC deployment framework using CloudFormation StackSets, standardizing resource deployment across 350+ AWS accounts.

– Automated GitHub-driven CI/CD infrastructure pipelines via YAML, S3, and Lambda, reducing manual ops by 90% while maintaining enterprise governance.

Route53 Delegated Permission Framework

– Designed delegated Route53 permission framework enabling secure self-service DNS management for development environments.

– Reduced infrastructure team dependency and accelerated application deployment cycles while maintaining centralized DNS governance.

Root Email Governance

– Developed centralized AWS Root Email Governance automation using AWS Batch, Python and WorkMail, generating monthly compliance reports and improving enterprise account governance visibility.

– Automated monthly reconciliation of AWS Organizations root emails and WorkMail aliases, reducing manual governance effort and improving account compliance visibility.

Projects

AI Email Router & Workflow Orchestrator Amazon Bedrock Flows, Python, AWS IAM

– Architected a multi-node GenAI pipeline using Amazon Bedrock Flows to automatically classify, parse, and route incoming enterprise emails based on intent.

– Implemented conditional workflow branching and Bedrock Prompt Management to auto-generate context-aware responses while enforcing IAM security guardrails.

Education

Delhi Technological University (DTU) Aug 2017 - May 2021 Bachelor of Technology (Computer Engineering), CGPA: 7.0 Rohini, Delhi Technical Skills

Cloud Technologies: AWS (Organizations, IAM, Lambda, Step Functions, CloudFormation, StackSets, Amazon S3, Route53, WorkMail, AWS Batch, CloudWatch, Service Control Policies (SCP)) Languages: Python, SQL

DevOps & CI/CD: GitHub, Jenkins, YAML

Operating Systems: Linux

Concepts: Infrastructure as Code (IaC), Cloud Governance, Platform Engineering, Serverless Architecture, Multi-Account AWS, CI/CD Automation, Distributed systems, System design

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