Jackson L.
Software Engineer at Amazon
- Role
- Software Engineer at Amazon
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Jackson L.
I am a senior engineering leader specializing in architecting, scaling, and operating…
Experience
Software Engineer
Apr 2022 — Present · Seattle, WA, US
Amazon Digital E-Commerce team - High Concurrency, Large Scale, High Availability, Low Latency.• Developed and Maintained 5+ high-traffic tier-1 microservices and 6 tier 2 services for the ordering domain, handling more than read and write requests per second in single service. Microservices architecture includes sync, async, MAWS, and NonAWS technologies. Supported external partners Google, Apple, NFL and Peacock as well as internal partners Prime, Audible, PV etc. Architecture & Technologies: • Java, Kotlin, Spring, Guice, MemCache, Ant for high concurrency and multi-threading micro service. • GraphQL based read-only back-end services. • Asynchronous SNS, SQS, stateful back-end java services.• Java-based monolithic services• Serverless AWS Lambda and AWS Batch base service. • Full stack service base on React and full stack java web service base on Java servlet and tomcat. Leadership and Optimization:• Led team for service scalability, availability, performance audit and optimizations for Prime Day and Q4, including QPS projection, hardware host performance analysis, and service bottleneck inspection include interface latency, network connectio, servers cluster ports, CPU, Memory, Disk usage, etc. • Conducted load testing, thread pool usage pattern audit, throttling justification, and retry/circuit breaker audit, upstream/downstream timeout optimizations.Project Highlights:• Refund Order API: Refactored legacy order API to support new features via a pluggable methodology, enhancing maintainability, extensibility, reducing client TTM.• External Config Store: Designed an extensible config store integrating with exernal config, with high concurrency thread-safety, and reducing deployment cycles from 1-2 weeks to minutes.• Developed \"Action\" feature refactor extensibility for customized logic in workflow DAG compiler, improving long-term extensibility and maintainability, enhancing client on-boarding.
Education
Indiana University Bloomington
Computer Software Engineering
Indiana University Bloomington
Computer Science
Trine University
Master of Science in Information Studies
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