Phong Dong
@phongdong
Senior software engineer specializing in distributed systems, cloud-native architecture, and AI-augmented backends.
What I'm looking for
I’m a Senior Software Engineer with 10 years in enterprise and e-commerce tech, specializing in distributed systems, cloud-native architecture, and AI-augmented backends. I focus on building reliable platforms that move fast without sacrificing correctness, observability, or operational excellence.
At Google, I architected cross-device synchronization using Java, Spanner, and Pub/Sub, delivering seamless real-time parity across mobile and web. I built a recurrence engine for appointment slots, designed multi-calendar conflict detection, and optimized large-scale meeting scheduling infrastructure (up to 100k guests), cutting processing latency by 40%.
I also integrated Gemini AI for automated note-taking and intelligent scheduling, and built a Time Insights analytics dashboard with React, TypeScript, and D3.js. On the reliability side, I delivered observability pipelines for real-time monitoring and reduced mean time to resolution by 50%, while building testing frameworks for event synchronization that achieved 99.9% uptime.
Previously at OfferUp, I built a unified notification platform and a real-time messaging platform, refactoring monolith APIs into microservices to reduce P99 latency by 20% during peak traffic. I’m energized by cross-functional collaboration, clear API contracts, and engineering practices like SLOs, error budgets, and instrumentation that continuously lower incidents over time.
Experience
Work history, roles, and key accomplishments
Architected cross-device synchronization and scheduling systems using Java, Spanner, Pub/Sub, and gRPC to support up to 100k guests and cut processing latency by 40%. Integrated Gemini AI for automated notes and scheduling, reducing meeting overload by 15% per user feedback and cutting mean time to resolution by 50% with observability pipelines.
Built a unified notification platform with Node.js/TypeScript, Kafka, and SQS/SNS, cutting duplicated notification logic by 60% and improving delivery success. Refactored key APIs to microservices and introduced SLOs and error budgets, reducing P99 latency by 20% and high-severity incidents by 35% year over year.
Education
Degrees, certifications, and relevant coursework
San Jose State University
Bachelor of Science (B.S.), Computer Science
2012 - 2016
Earned a Bachelor of Science in Computer Science at San Jose State University from 2012 to 2016.
Tech stack
Software and tools used professionally
Splunk
Apache Spark
Apache Flink
D3.js
Chart.js
Highcharts
AWS IAM
GitHub
Kubernetes
React Native
Xamarin
NumPy
Dask
MySQL
PostgreSQL
MongoDB
SQLite
MariaDB
Hadoop
CocoaPods
InVision
Node.js
Django
Spring Boot
Android SDK
.NET Core
Ruby on Rails
Next.js
.NET
ASP.NET Core
Tailwind CSS
Nuxt.js
Material-UI
Web Components
three.js
Databricks
Figma
Adobe XD
Zeplin
Okta
OpenCV
Redis
Terraform
Android Studio
Xcode
Gradle
styled-components
Vue.js
jQuery
Svelte
React-Vue
JavaScript
HTML5
Java
PHP
Kotlin
ASP.NET
Perl
PowerShell
Objective-C
Julia
OCaml
Logstash
Apache Flume
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
NLTK
Kafka
FastAPI
fastlane
Grafana
Kibana
Prometheus
OpenTelemetry
ZAP
Datadog
Gemini
gRPC
Elasticsearch
WordPress
Amazon Aurora
Zustand
vuex
JUnit
Auth0
Apache HTTP Server
Balsamiq
Zap
MobX
CUDA
SQL
Haskell
XGBoost
NgRx
Hugging Face
LightGBM
Burp Suite
LangChain
Polars
Ray
Caddy
Recoil
OWASP ZAP
Bash
Agentic
MediaPipe
Objective
Joomla
Jan
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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