Senior Backend Engineer (Trading)

We are seeking a Java Trading Engineer with solid technical skills and a profound understanding of trading systems. The role involves building and optimizing core trading systems that support high concurrency and low latency, covering diverse trading scenarios such as spot trading and futures trading. You will deeply participate in the entire process from business requirement analysis to system implementation, ensuring the stability, security, and efficiency of the trading system.

Responsibilities:

• Develop and maintain core modules of the trading system based on the Java technology stack, including order reception, matching engine, fund settlement, market data distribution, etc.
• Optimize system performance, resolve latency issues in high-concurrency scenarios, and ensure that the order processing response time is at the millisecond level.
• Design distributed trading architectures to ensure high availability of the system under peak traffic (e.g., 10,000-level orders per second).
• Realize the technical implementation of trading rules, such as spot T+0 trading, futures margin management, position closing/margin call mechanisms, etc.
• Collaborate with the quantitative trading team to support API interface development and meet high-frequency trading needs.
• Participate in system monitoring and troubleshooting, formulate disaster recovery plans, and reduce risks in the production environment.

Requirements:

• Bachelor's degree or above in Computer Science/Software Engineering or related majors, with 3-5 years of Java development experience and at least 1 year of trading system development experience.
• Proficiency in Java fundamentals, in-depth understanding of concurrent programming (thread pools, locking mechanisms), JVM principles and tuning.
• Familiarity with high-performance frameworks such as Netty and Disruptor; candidates with low-latency system development experience are preferred.
• Understanding of core logic of trading systems, such as Order Book design and matching algorithms (limit order, market order processing).
• Mastery of distributed system design principles, and familiarity with the application of middleware such as Kafka, Redis, and MySQL in trading scenarios.
• Strong problem-analysis ability, capable of locating performance bottlenecks or business anomalies through logs and monitoring data.
• Work experience in financial exchanges, securities firms, or quantitative trading companies is preferred.