// DevOps & Cloud Engineer

Rahulkumar
Choudhary

Building infrastructure that doesn't break at 3am.

DevSecOps engineer with 4+ years designing cloud-native infrastructure, CI/CD pipelines, and Kubernetes-based microservices at scale. Specializing in AWS, Azure, Terraform, and GitOps — turning manual toil into automated systems that just work.

say hello LinkedIn ↗ GitHub ↗
Rahulkumar Choudhary
4+
Years experience
3+
Cloud platforms
4×
Faster deployments
$300k+
Annual savings driven

// 01 — experience

Where I've
shipped things

Jun 2025 — Present
UT System
Austin, TX
IT Application Services Associate — DevSecOps Engineer
  • Accelerated production .NET deployment velocity by 72% by integrating templatized Azure CI/CD pipelines and phasing out manual release workflows.
  • Established automated build validation across 77+ repositories, enforcing secure-by-design standards via Service Principals and Azure Key Vault.
  • Integrated Mend Bolt, Microsoft Advanced Security, and CodeQL into build pipelines, reducing vulnerability escape to production across all repos.
  • Engineered a 2× improvement in document routing throughput via Azure Service Bus & Functions, drastically reducing system latency.
Azure DevOps CodeQL Terraform Key Vault .NET MySQL
Jul 2022 — Jul 2024
Assurant
India
DevOps Engineer
  • Led design of a Jenkins Shared Library with 2 engineers, resulting in a 4× faster time to market for new features across teams.
  • Provisioned highly available EKS clusters with Terraform, implementing GitOps CI/CD via ArgoCD — 80% improvement in infrastructure security.
  • Optimized EKS autoscaling with Karpenter, cutting infrastructure costs by 20% without compromising performance.
  • Built centralized ELK Stack logging + Prometheus/Grafana monitoring, reducing production issue resolution time by 25%.
  • Coordinated blue-green and rolling deployment strategies to ensure zero-disruption production releases.
Jenkins ArgoCD AWS EKS Karpenter Terraform ELK Prometheus
Jun 2021 — Jun 2022
HCL Technologies
India
Cloud Engineer
  • Deployed and managed AWS infrastructure (EC2, S3, RDS), automating provisioning with Shell + CloudFormation, reducing manual setup by 30%.
  • Collaborated with architects to design secure VPC architectures for client production environments.
  • Assisted in migrating on-premises workloads to AWS, modernizing infrastructure for enterprise clients.
AWS CloudFormation Docker CloudWatch VPC

// 02 — skills

Tools of
the trade

Cloud & Orchestration
AWS Azure GCP Kubernetes EKS / AKS / GKE Docker Helm OpenShift Karpenter
CI/CD & Automation
GitHub Actions Argo CD Jenkins GitLab CI Ansible JFrog Trivy Maven
Infrastructure as Code
Terraform CloudFormation AWS AFT OPA / Sentinel Terrascan
Observability & Databases
Prometheus Grafana Datadog ELK Stack CloudWatch Kafka PostgreSQL
Languages
Python Bash GoLang Java Groovy SQL FastAPI Spring Boot
Security & GenAI
HashiCorp Vault OIDC Federation RBAC SAST / DAST OpenAI Claude Gemini Prompt Engineering

// 03 — projects

Things I've
built

01
AI-Powered Document Classification System

Banking-grade document classification using Azure Document Intelligence, integrating OpenAI + Gemini APIs via a Factory design pattern for scalable model handling. Event-driven architecture with Azure Service Bus and Azure Functions.

↳ $300K+ in annual cost savings
Python C# Azure Functions OpenAI Gemini
02
Real-Time DDoS Attack Detection System

AWS-hosted DDoS detection using tshark for traffic capture and a Gradient Boosting Classifier. Published attack insights via Firebase to a live web app. Deployed with Docker and Terraform for reproducibility and scale.

↳ 30% improvement in detection accuracy
Python AWS Docker Terraform ML
03
Kubernetes Multi-node Cluster Automation

Fully automated provisioning of a cloud-based Kubernetes multi-node cluster on AWS using Python and Ansible. Leveraged asynchronous EC2 launch and Ansible Dynamic Inventory to auto-configure master and worker nodes.

↳ 42% reduction in cluster setup time
AWS Kubernetes Python Ansible
04
Research Publication

Published in the International Journal of Scientific Research in Engineering and Management (Vol. 6, Issue 12, Dec 2022) on real-time DDoS detection using Apache Flink and Gradient Boosting Algorithm.

↳ IJSREM · December 2022
Apache Flink Python AWS Docker

// 04 — credentials

Education &
certifications

MS in Computer Science
University of Texas at Arlington
Aug 2024 – May 2026 · Austin, TX
GPA 3.8 / 4.0
Bachelor's in Computer Engineering
Savitribai Phule Pune University
Jun 2019 – Jul 2023 · India
GPA 9.16 / 10
Certified Kubernetes Administrator (CKA)
Cloud Native Computing Foundation
Oct 2022
Red Hat Certified System Administrator (RHCSA)
Red Hat
Dec 2022
Red Hat Certified Specialist in Ansible Automation
Red Hat
Dec 2022
Red Hat Certified Specialist in Containers & Kubernetes
Red Hat
Mar 2022
Red Hat Silver Award — LW Red Hat Day 2023
Speaker to 1000+ professionals on Red Hat & open-source technologies
2023

Let's build
something together.

Open to DevOps, SRE, and Cloud Engineering opportunities.

rahulkumarmanoharchoudhary@gmail.com LinkedIn ↗ GitHub ↗