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A DevOps engineer who knows cheat codes — you're hired.

// Software DevOps Engineer · 7+ Years · AWS Certified

Rohith
Balijepalli.

7+ years of cloud infrastructure, CI/CD pipelines, and politely telling systems they can't just do that. Amazon. Intel. AWS certified. Still debugging...

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01

About

I'm a Software DevOps Engineer based in Illinois with over 5 years of expertise across Software Development, DevOps, Systems Engineering, and Cloud Computing.

Most recently at Amazon Prime Video, where I engineered CI/CD pipelines that cut deployment time by 40% and built AWS data processing pipelines serving millions of subscribers worldwide.

Before that, Intel — managing 20 PB of dynamic data, building disaster recovery strategies, and Dockerizing Java microservices at scale.

Dual AWS certified: Solutions Architect-Associate and Cloud Practitioner.

7+
Years experience
×2
AWS Certifications
20PB
Data managed at Intel
40%
Deploy time cut at Amazon
02

Skills

AWS Cloud Services92%
Python / Java88%
Terraform / CloudFormation86%
Docker / Kubernetes85%
CI/CD · Jenkins · Pipelines83%
JavaScript / TypeScript78%
Ansible / Puppet / Chef75%
☁️ AWS Services
IAMS3EC2LambdaCDKCloudWatchCloudFormationRoute53SNSSQSELBRDS
🏗️ IaC & Config Management
TerraformCloudFormationAnsiblePuppetChef
🐳 Containers & Databases
DockerKubernetesDynamoDBMongoDBMySQLOracle
🔧 Languages & Testing
PythonJavaJavaScriptTypeScriptShellJUnit4Mockito
03

Terminal

// Interactive CLI — click a suggestion or type a command

rohith@devops ~ zsh
whoamiskillsexperienceprojectscertificationscontactclear
rohith@devops:~$
04

Tech Stack

// Hover a node to explore · watch the connections light up

My Stack

Every tool I've shipped real work with. Hover any node to see details.

// Active Node
—
Hover a node
// Categories
Cloud & AWS
IaC & DevOps
Languages
Containers & CI/CD
Databases
05

Experience

Popular BankSep 2024 – Present📍 Rosemont, IL
Software Engineer
  • Designed and developed two enterprise-grade REST APIs for ATHM (internal banking platform) using .NET, enabling secure and scalable communication between internal services
  • Implemented business logic, validation layers, and DTO-based architecture to improve maintainability and reduce defects
  • Built APIs with secure authentication and authorization mechanisms including API keys and IAM-based access, ensuring compliance with banking security standards
  • Optimized API performance by improving request handling, connection management, and response efficiency
  • Integrated APIs with AWS services including API Gateway, ECS, Lambda, and Secrets Manager for scalable and secure deployments
  • Containerized .NET applications using Docker and deployed them on ECS Fargate for high availability and scalability
  • Designed and configured API Gateway to VPC Link to NLB to ECS architecture, resolving timeout issues and improving API reliability
  • Built and maintained CI/CD pipelines using Jenkins and GitLab for automated build, test, and deployment processes
  • Developed reusable Terraform modules for ECS, ECR, IAM, networking, and load balancers, reducing infrastructure provisioning time
  • Implemented secure secrets and certificate management using AWS Secrets Manager, eliminating hardcoded credentials
  • Developed a Java-based AWS Lambda function to execute JMeter load tests and store reports in S3 and CloudWatch
  • Configured TLS termination using NLB and NGINX sidecar containers to ensure secure internal API communication
  • Improved system observability using CloudWatch Logs and Insights, reducing debugging time and improving incident resolution
  • Troubleshot production issues including API Gateway timeouts, certificate validation failures, and container networking issues
.NETAPI GatewayECS FargateDockerTerraformJenkinsGitLab CILambdaSecrets ManagerNLB
Amazon Prime VideoJun 2022 – Mar 2024📍 Herndon, VA
Software Development Engineer
  • Engineered a scalable CI/CD pipeline using CDK/LPT, reducing deployment time by 40% and increasing successful deployments by 30%
  • Implemented AWS data processing pipeline for external data — automated filtering + real-time checks cut processing time by 40%
  • Built and maintained robust backend systems in Java and Python for mission-critical streaming infrastructure
  • Integrated Python apps with EC2, S3, Lambda, RDS — optimized cloud infra for performance and cost
  • Deployed automated testing for operational readiness, boosting efficiency by 50%
  • Achieved AWS Certified Solutions Architect — improved system uptime by 20%
AWS CDKJavaPythonEC2S3LambdaRDSCI/CD
UNC CharlotteJul 2021 – May 2022📍 Charlotte, NC
Application Engineer
  • Administered Jenkins + Maven CI/CD pipeline — reduced manual intervention by 70%, increased deployment frequency by 50%
  • Implemented JUnit / Mockito automated testing for Java apps, improving code quality
  • Leveraged Google Cloud Platform to improve response times by 30% for university projects
  • Supervised Algorithms & Data Structures lab sessions
JenkinsMavenGCPJavaJUnitMockito
IntelJun 2018 – Feb 2021📍 Bengaluru, India
Systems Engineer
  • Managed 20 PB of Intel's dynamic data — incremental, full, off-site, and replication backup strategies
  • Administered backup & disaster recovery achieving 90% data recovery rate, reducing data loss by 70%
  • Deployed infrastructure with Terraform — slashed provisioning time by 30%, ensured environment uniformity
  • Dockerized Java applications across dev/test/prod — reduced infrastructure costs by 30%
  • Automated system configuration and backups with Python, increasing efficiency by 50%
TerraformDockerPythonVeritas NetBackupVEEAM
06

Projects

PROJECT / 001

VPC-AutoScale

Scalable, resilient AWS infrastructure using Terraform, Ansible, Puppet, and Jenkins. Provisioned Amazon VPC with public/private subnets, NAT gateways, and security groups. Automated EC2 config + full CI/CD pipeline.

TerraformAnsiblePuppetJenkinsEC2VPCCloudWatchLambda
PROJECT / 002

AWS Data Pipeline (Prime Video)

Implemented end-to-end data processing pipeline for external data ingestion at Amazon. Automated filtering + real-time accuracy checks cut processing time by 40% at massive scale.

AWSPythonLambdaS3RDSCDK
PROJECT / 003

CI/CD Pipeline · CDK/LPT

Engineered production CI/CD pipeline at Amazon Prime Video reducing deployment time by 40% and boosting successful deployments by 30%. Automated testing layer cut issue identification by 50%.

AWS CDKJenkinsJavaPythonEC2
PROJECT / 004

20PB Backup & DR System · Intel

Designed and administered enterprise-scale backup and disaster recovery strategies for Intel's 20 PB data landscape. Achieved 90% recovery rate with 70%+ reduction in data loss risk.

Veritas NetBackupVEEAMPythonTerraform

Let's Build
Something.

Open to senior DevOps / SDE roles, cloud architecture consulting, and conversations about systems at scale.

rohitbalijepalli@gmail.com
07

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