Kevin Zhou
@kevinzhou1
Senior software engineer building large-scale cloud observability and low-latency video systems.
What I'm looking for
I’m a senior software engineer with 12+ years at Amazon, specializing in large-scale cloud observability and video streaming. I’ve built reliable real-time systems at AWS and Amazon Prime Video that handle billions of events daily while delivering smooth playback for millions of users. My focus is latency, reliability, and operational excellence—end to end.
At AWS, I owned real-time metric ingestion pipelines in Python and Java, integrating Kafka streaming to deliver sub-second latency at massive scale. I designed and optimized REST API and GraphQL endpoints for CloudWatch metrics querying, cutting API response times by 40% under high load. I also helped bring generative AI into CloudWatch Logs Insights to enable natural language query generation from user prompts.
I build for fast diagnosis and continuous improvement: I developed real-time dashboards with React and WebSockets, improved troubleshooting speed, and reduced MTTR by 35%. As L5, I owned observability SLOs/SLIs and implemented anomaly detection with Python and composite alarms, while strengthening secure data flows with IAM auth, encryption, and logging. I lead CI/CD using AWS CodePipeline, CodeBuild, and GitHub Actions—automating testing and deployments and cutting release cycles by 25%—and I mentor teams on unit testing and CI/CD best practices tailored to AWS-scale environments.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Amazon Web Services (AWS)
Mar 2019 - Jan 2026 (6 years 10 months)
Built and scaled real-time CloudWatch observability backend systems processing billions of events daily with sub-second latency. Reduced CloudWatch API response times by 40% under high load, improved DevOps troubleshooting speed and MTTR by 35%, and cut release cycles by 25% via CI/CD automation.
Software Engineer II
Amazon
Feb 2014 - Mar 2019 (5 years 1 month)
Contributed to Prime Video backend and streaming systems delivering low-latency playback to millions of users worldwide. Reduced live-stream latency by 50%, lowered rebuffering by 45%, and improved watch time by 35% through adaptive streaming and personalization with real-time events.
Education
Degrees, certifications, and relevant coursework
Cornell University
Attended Cornell University in Ithaca, NY. Degree, field of study, and years were not provided.
Tech stack
Software and tools used professionally
D3.js
GitHub
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
React Native
Xamarin
PhoneGap
PySpark
MySQL
PostgreSQL
MongoDB
Cassandra
Shopify
Gmail
InVision
Django
Laravel
Spring Boot
Android SDK
Ruby on Rails
Next.js
Yarn
Bower
Figma
Adobe XD
Zeplin
Redis
Terraform
Vue.js
rollup
JavaScript
Java
PHP
Kotlin
Objective-C
TensorFlow
PyTorch
scikit-learn
Amazon Personalize
Kafka
FastAPI
OpenTelemetry
iOS
Homebrew
pnpm
Datadog
GraphQL
WordPress
Strapi
AWS Lambda
Vercel
Netlify
pytest
JUnit
Mockito
WebRTC
Wix
Squarespace
Balsamiq
Amazon Web Services (AWS)
Canva
SQL
npm
Browserify
LangChain
Playwright
Vite
LangGraph
Objective
Joomla
Availability
Location
Authorized to work in
Job categories
Skills
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