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Isaac WangIW
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Isaac Wang

@isaacwang

Senior software engineer building production-grade cloud systems, agentic AI workflows, and scalable microservices.

United States
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What I'm looking for

I’m looking for a team where I can build reliable, high-scale backend and platform systems—and apply agentic AI to automate real operational workflows. I want strong engineering rigor, performance ownership, and a culture that ships safely.

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

UN

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.

AT

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%.

Education

Degrees, certifications, and relevant coursework

University of California San Diego logoUD

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.

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