Isaac Wang
@isaacwang
Senior software engineer building production-grade cloud systems, agentic AI workflows, and scalable microservices.
What I'm looking for
I’m a Senior Software Engineer at Stripe, focused on building production-grade, autonomous operations workflows. I engineered an autonomous incident response framework using Model Context Protocol (MCP) to connect Claude Sonnet with AWS CloudWatch and EventBridge, then built RAG pipelines with LangGraph for real-time log analysis and triage.
Across product and developer experience work, I architected the unified Stripe Dashboard with Next.js, Tailwind CSS, and GraphQL to aggregate data from 20+ microservices. I also re-engineered Stripe’s .NET SDK middleware to optimize object expansion for enterprise C# clients and delivered a unified native mobile experience on iOS (Swift/SwiftUI).
Earlier, I spearheaded a mission-critical migration for settlement engines, moving from a Monolithic Ruby on Rails environment to high-concurrency microservices in Golang and Rust on AWS ECS. I used Sorbet for strict type-checking during the phased cutover and helped manage a 3x peak Transactions Per Second surge with 99.99% availability while maintaining PCI-DSS and SOC 2 compliance.
Before that, at Atlassian, I built analytical infrastructure using Apache Flink and Apache Druid for sub-second queries over a multi-petabyte Iceberg data lake via Snowflake. I also shipped collaborative editing capabilities for Jira Cloud using Java (Spring Boot) with Clojure CRDTs and a React/TypeScript frontend, consistently improving Time-to-Interactive while aiming for reliability and performance.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
Atlassian
Jun 2018 - Aug 2018 (2 months)
Developed a visual regression testing suite in Python using OpenCV to automate UI discrepancy detection and used Firebase for low-latency state synchronization. Saved 15 hours of manual engineering time per week and increased QA coverage for the Atlassian Design System by 40%.
Software Engineering Intern
UnifyID
Jun 2018 - Aug 2018 (2 months)
Built mobile telemetry collection modules for iOS (Swift) and Android (Kotlin) to ingest accelerometer and gyroscope data, and implemented a Python/Flask backend to preprocess sensor streams for a gait-analysis ML model. Increased data ingestion throughput by 25% to support biometric model training for an Implicit Authentication technology.
Education
Degrees, certifications, and relevant coursework
University of California San Diego
Bachelor of Science, Mathematics, Computer Science
2015 - 2019
Earned a B.S. in Mathematics and Computer Science at the University of California San Diego from 2015 to 2019.
Tech stack
Software and tools used professionally
Apache Flink
Druid
Kubernetes
React Native
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Django
Spring Boot
.NET Core
Ruby on Rails
Next.js
.NET
ASP.NET Core
Tailwind CSS
Neo4j
OpenCV
Redis
Terraform
Jira
Vue.js
React-Vue
JavaScript
Java
Kotlin
ASP.NET
Clojure
Kafka
FastAPI
SwiftUI
iOS
GraphQL
Prisma
Firebase
gRPC
Protobuf
Serverless
Airflow
Sorbet
SQL
LangChain
LlamaIndex
Pinecone
Agentic
LangGraph
LangSmith
Model Context Protocol (MCP)
Middleware
Loro
Movement
Availability
Location
Authorized to work in
Job categories
Skills
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