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).