Cody Chinothai

Cloud engineer focused on designing, deploying, and automating scalable, highly available systems with a DevOps mindset. Experienced in infrastructure as code, CI/CD pipeline automation, and secure, resilient cloud architectures to accelerate development cycles, optimize operations, and drive innovation for modern organizations.

Technical Skills

Languages

Python
Javascript
Terraform
React
MySQL
NoSQL

Technologies/Frameworks

Lambda
CloudWatch
ECS
Docker
Kubernetes
Linux
React
Typescript
S3
DynamoDB
Eventbridge
Git
Github
Jest
MongoDB
Agile
Kanban

Certifications

AWS Cloud Practitioner
AWS Certified Developer Associate

Experience

San Diego Gas & Electric March 2025 – August 2025

Associate Cloud Engineer | Cloud Platform Engineering San Diego, CA

Spearheaded the development of a critical cloud infrastructure project utilizing AWS event-driven architecture to automate IP reclamation, saving 8+ hours of asynchronous account management processes.
Designed and implemented AWS Lambda functions with Python integrated within an Eventbridge workflow, dynamically updating NoSQL records for efficient account lifecycle tracking.
Enhanced CI/CD pipelines via Terraform, Github Actions and Jenkins, ensuring 100% consistency and reproducibility for multi-environment AWS deployments through robust IaC practices.
Achieved 20% cost reduction in cloud resource utilization while maximizing resiliency of microservice environments by applying up-to-date AWS best practices and cloud security measures.

San Diego Gas & Electric June 2024 – March 2025

Associate Software Engineer | Work Management San Diego, CA

Engineered full-stack web applications using React, Typescript and Node.js, creating responsive interfaces with scalable backend solutions, using AWS Cloudwatch for observability and monitoring.
Designed and delivered an AuroraDB-based optimization, upgrading versions using blue/green deployment and reducing SQL query latency by 70% to improve system responsiveness for users.
Diagnosed and resolved critical access failures for 25+ business clients using AWS Lambda and WAF to avoid a 50% reduction in weekly customer deliveries.
Optimized Microsoft Copilot Studio agents to improve developer workflow in expanding unit test coverage, accelerating documentation efforts and streamlining redundant Azure DevOps tasks.

San Diego Gas & Electric May 2023 – August 2023

Software Developer IT Intern San Diego, CA

Leveraged Spring Boot to develop, test, and refactor REST API endpoints, optimizing customer interface workflows within cross-functional teams and generating a 20% improvement in data retrieval speed.
Developed a custom Java automation tool to accelerate the auditing of business requirements by 80%.

Projects

End-to-End AWS CI/CD Pipeline October 2025

Automated a cloud-based CI/CD system for Java/Maven and Node web applications, integrating seamless Docker image versioning to speed up deployment time and rollback by 20%.
Defined reproducible environments with AWS CloudFormation, eliminating configuration drift and manual effort.
Integrated secure dependency management with CodeArtifact to improve pipeline reliability for multi-team usage.

Backend Deployment with Kubernetes November 2025

Provisioned and configured EC2 instance for deployment orchestration via Amazon EKS, supporting scalable production workloads.
Streamlined deployment pipeline by integrating Elastic Container Registry for automated and versioned Docker image pulls - accelerating release cycles by 50%.
Validated system reliability by testing automated node recovery mechanisms and self-healing.

Education

San Diego State University

B.S. Computer Science — 3.93 GPA San Diego, CA