DevOps Engineer - Cloud-Native Infrastructure Automation Expert

RAHUL KUMAR REDDY CHAGANTI

United States *****************@*****.*** 312-***-**** LinkedIn github.com/Rahulkumarredd SUMMARY

DevOps Engineer with 3+ years of experience in building and scaling cloud-native infrastructure on AWS, Azure, and GCP, specializing in automation, CI/CD engineering, and container orchestration to enable high-availability deployments.

Proven track record in Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation, reducing provisioning errors by 95% and accelerating environment setup times by 70% across multi-cloud environments.

Expert in designing and optimizing CI/CD pipelines with Jenkins, GitLab CI, GitHub Actions, and Maven, cutting deployment cycles from hours to less than 15 minutes with automated testing, linting, and rollback capabilities.

Skilled in containerization with Docker and orchestration via Kubernetes and Helm, achieving 40% better resource utilization and enabling zero-downtime rolling updates in production.

Strong in observability and proactive monitoring with Prometheus, Grafana, and ELK Stack, reducing mean time to recovery (MTTR) by 35% and preventing outages through automated alerting. SKILLS

Methodology: SDLC, Agile (Scrum, Kanban), Waterfall Configuration Management: Terraform, Ansible, Chef, Puppet, Cloud Formation, Nagios, Prometheus, Grafana, ELK stack Protocols: TCP/IP, UDP, IP addressing, HTTP, SSL/TLS, DHCP, ARP, ICMP, LAN, WAN, DNS, NAT, PAT, ACL Routing & Switching: RIP, OSPF, EIGRP, BGP, Static Routing, HSRP, VLAN, VTP, STP, RSTP CI/CD Tools: Jenkins, Chef, Tektone, Circle CI, GitHub Actions, GitLab CI, Maven, Gradle, Kubernetes, Docker, Helm Languages: Python, Shell Scripting, PowerShell, JavaScript, C++, SQL Cloud Platforms: Azure DevOps, GCP, AWS (EC2, ECS, Faregate, Lambda, S3, RDS, CloudWatch) Database: Oracle, SQL Server, MySQL, MariaDB, MongoDB, PostgreSQL Other Skills: Bitbucket, Apache Tomcat, NGINX

EXPERIENCE

Allstate, United States August 2024 – Present

DevOps Engineer

Architected and maintained CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions, integrating SonarQube for code quality checks, JUnit for automated testing, and Nexus for artifact management — reducing release failures by 40% and improving deployment frequency from weekly to daily.

Implemented Infrastructure as Code with Terraform and AWS CloudFormation to provision EC2, ECS, Lambda, RDS, S3, and CloudWatch resources in a repeatable, version-controlled manner, cutting manual setup time by 75%.

Containerized microservices using Docker and deployed to Kubernetes clusters with Helm charts, enabling automated scaling and improving service uptime to 99.98%.

Designed and deployed Prometheus + Grafana monitoring stack, integrating application, system, and API metrics to deliver real- time observability and trigger alerts that reduced incident resolution time from 4 hours to under 1 hour.

Led blue-green and canary deployment strategies in Kubernetes, ensuring seamless production rollouts and zero downtime for customer-facing services.

Collaborated with Agile scrum teams (developers, QA, security) to optimize DevOps workflows, achieving a 20% increase in sprint delivery rates and a 30% reduction in post-release defects. Ford Motor, India December 2021 – December 2022

DevOps Engineer

Led the automation of CI/CD pipelines using Jenkins, GitLab, and GitHub Actions, reducing deployment times by 40% and minimizing errors through automated testing and version control integration.

Designed and implemented scalable cloud infrastructure on AWS, using Terraform for Infrastructure as Code (IaC) and CloudFormation for automated resource provisioning.

Managed Kubernetes clusters and Docker containers, improving containerized application deployment and scaling by 50%, ensuring high availability and fault tolerance in production environments.

Collaborated with cross-functional teams (development, QA, and operations) to optimize the software development lifecycle

(SDLC) for faster and more efficient product releases.

Integrated Prometheus and Grafana for real-time monitoring and alerting, reducing downtime by 30% through proactive system health tracking.

Implemented automated monitoring and alerting solutions, reducing system failures by identifying issues early and enabling quick resolution.

Adons Softech, India January 2021 – November 2021

Junior Cloud Engineer

Supported AWS and Azure cloud deployments, configuring EC2, S3, RDS, Load Balancers, and Azure App Services, maintaining 99.9% uptime for client applications.

Assisted in creating automated deployment pipelines with Jenkins and CircleCI, enabling continuous delivery with integrated unit testing and artifact versioning.

Deployed and maintained Docker containers for microservices and legacy application modernization projects, ensuring consistent environments across dev, QA, and production.

Developed Ansible playbooks for automated configuration management, reducing manual setup times by 60% and improving consistency across 20+ servers.

Monitored applications and infrastructure using Nagios, ELK Stack, and CloudWatch, proactively identifying performance bottlenecks and reducing average resolution time by 25%.

Documented deployment runbooks, infrastructure diagrams, and troubleshooting guides, improving knowledge transfer and onboarding speed for new engineers.

EDUCATION

Illinois Institute of Technology, Chicago, Illinois January 2023 – January 2025 Master of Science in Information Technology and Management Karunya Institute of Technology and Sciences, India August 2018 – June 2022 Bachelor of Technology in Electronics and Communication Engineering PROJECT

Heart Failure Prediction using Machine Learning

Developed a machine learning model to predict heart disease risk using Python and libraries such as Pandas, NumPy, and Matplotlib.

Improved model accuracy by 15% through data preprocessing and feature selection techniques.

Utilized classification algorithms (Logistic Regression, Random Forest) to classify risk levels and provide decision support for healthcare applications.

Soldier Health Monitoring and GPS Tracking System

Built an IoT-based system to monitor soldiers’ health metrics in real-time, integrated with GPS tracking for precise location monitoring.

Developed mobile application (Blynk) for displaying soldier health data and facilitating immediate medical intervention during combat.

RFID-Based Wireless Car Charging System

Developed a wireless car charging system using inductive coupling, improving energy transfer efficiency by 20%.

Implemented secure communication protocols between the vehicle and charging platform to ensure reliable and efficient power delivery.

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