Chun Ming Jimmy Tsai

About Chun Ming Jimmy Tsai

I am a Software Engineer with over a decade of experience at Amazon Fulfillment Technology, specializing in building, scaling, and maintaining mission-critical systems that keep Amazon’s global fulfillment network running smoothly.My work spans three key areas: Operational Reliability: Provided on-call support for Amazon’s global labor planning systems, ensuring 24/7 uptime for teams across multiple regions. Set up comprehensive monitoring through metrics, alarms, and dashboards, enabling proactive detection and rapid resolution of issues before they impacted operations. Scalability & Performance: Designed and optimized systems to handle surges in demand driven by feature rollouts, regional expansions, and peak events such as Prime Day. Delivered solutions that improved throughput, reduced latency, and scaled seamlessly under record-breaking loads. Legacy System Modernization: Led efforts to upgrade and secure legacy infrastructure, addressing compliance requirements, mitigating migration risks, and improving long-term maintainability.I thrive in high-stakes environments where reliability, scalability, and operational excellence are non-negotiable. My focus is on delivering durable solutions that balance technical depth with practical business impact—keeping systems resilient and ready for Amazon’s next big challenge.

Experience

1. Sde 2

   Amazon Fulfillment Technologies & Robotics

   Mar 2018 — Present · Seattle, WA, US

   Lead and mentor new SDE1 engineers in maintaining ALPS 1.0, Amazon’s legacy labor planning system, ensuring smooth operations, reducing knowledge gaps, and accelerating onboarding.* Modernized system security and compliance by upgrading the authorization and authentication framework, reducing vulnerabilities and improving maintainability.* Re-examined and optimized legacy SQL queries against the RDS database, trimming payload sizes and improving query performance during peak loads.* Diagnosed and resolved database bottlenecks and data propagation issues across multiple interconnected services, implementing durable fixes to improve reliability and consistency.* Collaborated with cross-functional stakeholders to balance stability with incremental feature improvements in a mission-critical production environment.

Education

• University of Toronto

  Master of Engineering (MEng), Control System Engineering

  2011 — 2013

• Simon Fraser University

  M.a.Sc., Engineering

  2004 — 2007

Skills

• Simulink
• Robotics
• Matlab
• Simulations
• Labview
• Electrical Engineering
• Plc
• Embedded Systems
• Image Processing
• Machine Learning
• Electronics
• Modeling
• Mechatronics
• Programming
• Testing
• Control Systems Design
• Optical Network
• Latex
• Mathematical Modeling
• Signal Processing
• Algorithms