Cody Chinothai

San Diego, CA | Software Engineer | Cloud & DevOps
858-731-6551   cchinothai@gmail.com   linkedin.com/in/cody-chinothai   github.com/cchinothai
Software engineer focused on building scalable and highly available systems with cloud architecture and microservice solutions. Skilled in driving automation, secure design and agile-focused development/operations to advance organizational goals and foster innovation.
Visitor Count: Loading...

Technical Skills

Languages: Python, Java, Javascript, React, MySQL, NoSQL, Typescript, Terraform
Technologies/Frameworks: Lambda, CloudWatch, ECS, Docker, Kubernetes, S3, DynamoDB, Eventbridge, Jest, MongoDB, Agile, Kanban, Git
Certifications: AWS Cloud Practitioner (December 2024), AWS Certified Developer Associate (August 2025)

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.
  • Implemented Microsoft Copilot Studio agents to generate efficient code snippets that automate unit test coverage, accelerating documentation efforts and streamlining redundant Azure DevOps tasks.
San Diego Gas & Electric May 2023 – August 2023
Software Engineer 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 separate Java/Maven and Node web applications, integrating seamless Docker image builds, code quality and test coverage reports to enhancing deployment reliability, speed, and rollback capabilities.
  • Implemented infrastructure-as-code with AWS CloudFormation to ensure reliable environment provisioning.
  • Integrated secure dependency management with CodeArtifact to enable scalable and resilient builds.
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 Sep. 2020 – May 2024
B.S. Computer Science San Diego, CA