Edward Chang
@edwardchang1
I am a Staff Software Engineer building scalable web applications.
United StatesWhat I'm looking for
I am a Staff Software Engineer with 11 years building and scaling web applications across leading technology companies. I specialize in modern JavaScript frameworks, backend development, API design, and cloud infrastructure.
I have driven measurable outcomes — improving system reliability by 30%, increasing release frequency by 40%, and supporting payroll processing for 200,000+ small businesses. I led backend refactors, implemented GraphQL APIs, integrated OpenAI APIs for an internal assistant, and engineered high-throughput microservices orchestrated with Kubernetes and Docker on AWS.
I mentor and provide technical leadership to multi-person teams, drive architecture and observability improvements, and collaborate closely with product and design to deliver high-performance UIs and robust data pipelines. I seek opportunities to continue delivering scalable systems and mentor engineers in fast-paced, mission-driven environments.
Experience
Work history, roles, and key accomplishments
GUStaff Software Engineer
Gusto
Aug 2019 - Present (6 years)
Led initiatives across Payroll, Benefits, and Compliance platforms, improving system reliability by 30% and supporting payroll processing for 200,000+ small businesses. Revamped backend services and implemented GraphQL APIs, increasing release frequency by 40% and data access speed by 25%.
DOSenior Software Engineer
DoorDash
Jul 2014 - Jul 2019 (5 years)
Led engineering for logistics, payments, and merchant platforms, driving a 10x increase in order volume and boosting customer engagement by 40% while reducing delivery ETAs by 30%. Modernized web apps and backend services with React, Redis, and Kubernetes, cutting page loads and API response times by up to 40%.
Education
Degrees, certifications, and relevant coursework
CPCalifornia State Polytechnic University, Pomona
Master of Science, Computer Science
2008 - 2014
Completed a Master of Science in Computer Science from September 2008 to May 2014.
Tech stack
Software and tools used professionally
Google Tag Manager
OpenAPI
Sidekiq
Apache Spark
D3.js
Microsoft Azure
Google Cloud Platform
GitHub
GitLab
Bitbucket
Kubernetes
Docker Compose
Cloudflare
Amazon CloudFront
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
SQLite
Hadoop
ReadMe.io
Gmail
Node.js
Django
Laravel
Spring Boot
.NET Core
Ruby on Rails
Next.js
Symfony
NestJS
.NET
ASP.NET Core
Spring MVC
Tailwind CSS
Nuxt.js
Material-UI
Vuetify
Bootstrap Styled
Google Analytics
Redis
Terraform
styled-components
React
Vue.js
JavaScript
Python
HTML5
Java
CSS 3
ASP.NET
Java EE
F#
Kafka
RabbitMQ
FastAPI
TypeORM
Prometheus
SQLAlchemy
Datadog
Apollo
GraphQL
Prisma
Socket.IO
gRPC
Elasticsearch
Spring Security
AWS Lambda
Serverless
Zustand
vuex
Vercel
Netlify
TypeScript
RSpec
pytest
JUnit
React Testing Library
SendGrid
OAuth2
Docker
Twilio
Formik
NGINX
dockerized
Time Analytics
s3-lambda
MobX
Optimizely
SQL
CakePHP
Supabase
Astro
Playwright
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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