Design and optimize core trading systems with a focus on performance and reliability, ensuring high availability and rapid product iteration while leading code development and troubleshooting efforts.
- Design and optimize core systems such as matching engines and order management; lead key code development to ensure the system supports high-concurrency trading requests and millisecond-level low-latency responses; perform performance tuning for high-frequency trading scenarios, using technologies like lock-free queues, memory pools, and zero-copy networking to reduce latency and increase throughput.
- Design unified architecture solutions to support rapid iteration of products like spot, perpetual contracts, and options, reducing redundant development; deeply understand derivative mechanisms to ensure accurate implementation of complex product logic and risk control.
- Lead major troubleshooting and performance optimization in production environments to ensure high system availability; build end-to-end monitoring systems for real-time alerting on core metrics and performance analysis.
- Stay abreast of industry trends, promote the application of technological achievements, and continuously improve the design of the trading system.
Requirements
- Bachelor's degree or higher in Computer Science or a related field; 5+ years of backend development experience, including 3+ years developing financial trading systems (securities, futures, cryptocurrency).
- Proficient in at least one of Go/Java/Rust/C++; skilled in distributed middleware and database optimization.
- Hands-on experience with high-concurrency, low-latency systems; has led the design or optimization of core modules (e.g., matching engine) and successfully resolved major production incidents.
- Deep understanding of product logic for spot margin, perpetual contracts, options, etc.; familiar with market maker strategies, arbitrage mechanisms, and key risk control points.
- Skilled in performance bottleneck analysis, capable of improving system efficiency through code optimization and concurrency control; has practical chaos engineering experience, able to design stress testing plans to simulate extreme market conditions.
Nice-To-Have:
- Experience developing core trading systems at top-tier exchanges or quantitative institutions.
- Knowledge of hardware acceleration techniques, low-latency network optimization, or cutting-edge trading middleware (e.g., Aeron, Disruptor).
- Fluent in English and Chinese.
*Only shortlisted candidates will be contacted.
Top Skills
C++
Chaos Engineering
Database Optimization
Distributed Middleware
Go
Java
Locking-Free Queues
Memory Pools
Performance Tuning
Rust
Zero-Copy Networking
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