Jonathan Ge

Software Developer

About

Backend Engineer with 3 years of experience building scalable, distributed systems for high-traffic O2O and E-commerce platforms. My expertise lies in Spring Cloud architectures, solving complex concurrency challenges, and optimizing system performance. Key Technical Achievements: High-Concurrency Systems: Architected a seckill module and dispatching engine using Redis + Lua, handling peak traffic with zero over-selling. Performance Optimization: Reduced database load by 40% through ShardingSphere-JDBC sharding and a Cold/Hot data separation strategy using TiDB. Distributed Consistency: Achieved 100% data consistency across microservices using Seata for distributed transactions. System Reliability: Optimized system response time by 35% via multi-level caching (Spring Cache) and real-time search sync (Canal + Elasticsearch). Tech Stack: Core: Java, Spring Boot, Spring Cloud. Distributed: Redis, RabbitMQ, Seata, Nacos. Data & Storage: MySQL, Elasticsearch, ShardingSphere. Tools: Docker, Git, Maven, Linux. Work Authorization: U.S. Permanent Resident (Green Card holder) — Fully authorized to work in the U.S. without sponsorship.

Country

United States

City

San Gabriel

Industry

Computer Software

Skill

Java, Spring Boot, Microservices, MySQL, Redis, Distributed Systems, Elasticsearch, RabbitMQ, MyBatis, Spring Cloud, RESTful WebServices, JUnit, MinIO, Canal, nacos, Seata, Openfeign, Sentinel, Docker, 亚马逊网络服务系统 (AWS)

Experience

Software Developer

Shanghai Jiaochuang Information Technology Co., Ltd.

2022-6 - 2025-4 · 2 yrs 11 mos

Shanghai, China

• Spearheaded the backend architecture for a high-traffic O2O Housekeeping Platform using Spring Cloud, delivering 30+ mission-critical RESTful APIs with 99.9% availability. • Engineered a B2C E-commerce Platform system, designing a reliable CDC pipeline using Canal and RabbitMQ to ensure real-time search updates with sub-second latency. • Optimized system response time by 35% by designing a multi-level caching mechanism using Redis and Spring Cache, effectively handling high-concurrency traffic and preventing cache penetration. • Achieved 100% data consistency across microservices by implementing distributed transactions with Seata, resolving complex cross-database synchronization issues in Coupon and Order modules. • Resolved critical production bottlenecks and reduced database load by 40% by implementing ShardingSphere-JDBC for sharding and a Cold/Hot data separation strategy using TiDB for historical order storage. • Refactored order lifecycle management by implementing a custom State Machine component, replacing hard-coded logic to support 7+ complex order statuses and ensuring seamless event-driven transitions.