Daiwei Li
@daiweili
Staff Software Engineer specializing in cloud-native platforms, microservices, and scalable UI/UX.
United StatesWhat I'm looking for
I am a Staff Software Engineer with deep expertise in cloud-native platforms, microservices, and developer-facing UIs. At Google Cloud I led the GKE console rebuild, migrated a monolithic AngularJS app to microfrontends, architected distributed pipelines, and integrated AI-driven recommendations to improve reliability and cost efficiency.
I have a strong full-stack background spanning frontend frameworks, backend microservices, real-time data pipelines, and CI/CD. I mentor engineers, run workshops on Kubernetes and cloud best practices, and collaborate closely with PMs, UX researchers, and SREs to deliver operationally excellent, user-centered products.
Experience
Work history, roles, and key accomplishments
GCStaff Software Engineer
Google Cloud
Feb 2020 - Present (5 years 8 months)
Led development of the GKE Cloud console, migrated a monolithic AngularJS app into a microfrontend architecture, and designed real-time cluster metrics dashboards that reduced user time-to-resolution by 40%. Architected distributed microservices and CI/CD canary pipelines that tripled deployment frequency.
Senior Software Engineer
Jan 2016 - Feb 2020 (4 years 1 month)
Built scalable Java/Python backend services and React UIs for YouTube Recommendations, increasing suggested video engagement by 8% and improving page render times by 15% through frontend optimizations and caching improvements.
Software Engineer
Suitable Technologies
Jun 2012 - Jan 2016 (3 years 7 months)
Developed full-stack features for the Beam product using PHP, Python, and C++; integrated WebRTC video streaming and built RESTful APIs, improving query performance by 25% through database optimization.
Education
Degrees, certifications, and relevant coursework
UBUniversity of California, Berkeley
Bachelor of Science, Electrical Engineering and Computer Sciences
2009 - 2012
Completed a Bachelor of Science in Electrical Engineering and Computer Sciences with coursework covering systems, algorithms, and software engineering.
Tech stack
Software and tools used professionally
Fivetran
Talend
Ethereum
D3.js
Chart.js
Highcharts
GitHub
SonarQube
Kubernetes
Jenkins
GitHub Actions
React Native
Xamarin
NumPy
Pandas
Dask
dbt
MySQL
PostgreSQL
MongoDB
MariaDB
Couchbase
Memcached
Cassandra
Hadoop
CocoaPods
Gmail
Node.js
Django
Laravel
Spring Boot
.NET Core
Ruby on Rails
Next.js
Symfony
.NET
ASP.NET Core
Tailwind CSS
Nuxt.js
Material-UI
three.js
Neo4j
Dgraph
Figma
Puppeteer
Okta
OpenCV
Redis
Terraform
Pulumi
Android Studio
Xcode
Jira
Gradle
styled-components
Mocha
Vue.js
jQuery
AngularJS
Svelte
React Query
React-Vue
Webpack
rollup
JavaScript
HTML5
Java
PHP
Kotlin
ASP.NET
Perl
PowerShell
Objective-C
Julia
OCaml
Gatling
Loki
TensorFlow
PyTorch
scikit-learn
Keras
Google Maps
Kafka
RabbitMQ
MQTT
FastAPI
TypeORM
OutSystems
fastlane
Grafana
Prometheus
SQLAlchemy
Sequelize
ZAP
New Relic
Datadog
Apollo
GraphQL
Prisma
NATS
gRPC
Doppler
Ansible
Serverless
Zustand
vuex
pytest
JUnit
Auth0
Keycloak
OAuth2
WebRTC
Formik
Zapier
Zap
Redis Cloud
MobX
CUDA
SQL
npm
Google Kubernetes Engine
Azure Blob Storage
Haskell
XGBoost
NgRx
Hugging Face
Ethers.js
LightGBM
Snyk
Burp Suite
LangChain
Playwright
Polars
Trivy
Hardhat
Delta Lake
Infura
LakeFS
Trino
Web3.js
Vite
Recoil
Solana
Availability
Location
United StatesAuthorized to work in
Social media
Job categories
Skills
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