Leon Lee
@leonlee3
Senior software engineer building resilient cloud-native microservices, streaming pipelines, and GenAI-backed experiences.
What I'm looking for
I’m a Senior Software Engineer with 11+ years driving the full SDLC—from requirements and architecture to coding, test automation, CI/CD, and production SRE—for cloud-native products at Google, Amazon, and high-growth startups. I build resilient systems with deep backend mastery across Java, Go, and Python, plus microservices and event-driven designs.
I specialize in real-time Data & Streaming pipelines and modern web experiences: scaling streaming with Cloud Dataflow, Kafka, and Pub/Sub, and delivering fast, accessible UIs with React/Next.js, Lit Web Components, and PWAs. I also ship AI/ML and Generative AI services using TensorFlow/PyTorch and LangChain-powered RAG, integrating them into production products.
I lead through mentoring and engineering rigor—TDD/BDD, code reviews, Agile/Scrum rituals, and security/observability with OAuth 2.0/OIDC and OpenTelemetry. I’m energized by turning complex constraints into reliable architectures that meet sub-second SLAs.
Experience
Work history, roles, and key accomplishments
Engineered Java/Spring Boot microservices and gRPC/GraphQL APIs on GCP, securing OAuth 2.0/OIDC and deploying to GKE with Terraform/Helm. Built real-time LLM/RAG pipelines and modernized Google News PWAs, achieving Lighthouse scores >95 and reducing ERP migration latency by 40%.
Built backend services for Alexa NLU and event-driven microservices for Amazon’s e-commerce platform using Kafka and RabbitMQ, exposing REST and GraphQL endpoints. Orchestrated EKS/OpenShift environments, automated CI/CD with Jenkins/GitHub Actions/CodePipeline, and secured APIs with OAuth 2.0/OIDC via AWS Cognito.
Refactored a Solaris-hosted PHP expense-approval system into modular Java/Spring REST APIs and moved the Oracle data tier to AWS RDS to support a microservice rollout. Containerized staging and automated deployments with Docker/Ansible/Jenkins, cutting environment setup from days to hours.
QA Engineer Intern
Radancy
Jun 2012 - Aug 2012 (2 months)
Executed daily smoke-test suites for 10+ recruitment portals using Selenium WebDriver and TestNG, catching critical regressions within minutes of deploys. Improved quality and throughput by increasing test coverage by 40% via automated Jenkins regressions and reducing average defect fix turnaround by 30% through Jira triage and collaboration.
Education
Degrees, certifications, and relevant coursework
Binghamton University
Bachelor of Science, Computer Science
2012 - 2015
Earned a Bachelor of Science in Computer Science at Binghamton University from 2012 to 2015.
Tech stack
Software and tools used professionally
Google Tag Manager
Splunk
Apache Spark
BrowserStack
D3.js
AWS IAM
Google Cloud Platform
Amazon CloudWatch
GitHub
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
Salesforce
React Native
CSS Modules
NumPy
Pandas
PySpark
MySQL
PostgreSQL
MongoDB
SQLite
Cassandra
IndexedDB
Gmail
Rollout
Node.js
Django
Spring Boot
Next.js
Spring MVC
Tailwind CSS
Material-UI
Web Components
three.js
Adobe Analytics
Figma
OpenCV
FFMPEG
Redis
Terraform
Jira
Bazel
Gradle
Quarkus
Babel
styled-components
jQuery
AngularJS
WebGL
React Query
Webpack
rollup
JavaScript
Java
PHP
Kotlin
JSON
Perl
WebAssembly
Logstash
TensorFlow
PyTorch
scikit-learn
Amazon ElastiCache
Kafka
RabbitMQ
MQTT
FastAPI
Istio
Grafana
Kibana
Prometheus
OpenTelemetry
Nagios
SQLAlchemy
Ubuntu
CentOS
Linux
Windows
PayPal
ZAP
Datadog
Apollo
Red Hat OpenShift
Google Workspace
Gemini
GraphQL
Google Cloud Dataflow
Google Cloud Pub/Sub
gRPC
Elasticsearch
OpenSearch
Solr
WordPress
Ansible
AWS Lambda
Serverless
Google Cloud Functions
Amazon RDS
Amazon Aurora
pytest
JUnit
PHPUnit
TestNG
Chakra UI
Google Meet
WebRTC
Firefox
Apache Beam
Zap
SQL
Google Cloud Run
TestRail
Cloudinary
LangChain
Knative
Ray
Lit
Vite
Ada
OWASP ZAP
Bash
Enhance
Adobe Experience Manager
Beam
X++
Availability
Location
Authorized to work in
Portfolio
challengepost.com/users/leeonleeJob categories
Skills
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