Quantitative trading system platform development engineer/architect 量化交易系统平台研发工程师/架构师

• Understand and deeply analyze quantitative business and high-frequency trading needs, design, develop and optimize high-performance strategy trading systems and related infrastructure.
• Develop and maintain high-concurrency, low-latency trading platform components, including order management, market data collection, strategy engine, etc.
• Work closely with strategy researchers/traders to develop quantitative strategy modules that support backtesting and live deployment based on strategy requirements, and participate in strategy result analysis and optimization.
• Continuously optimize the system architecture, reduce transaction latency, and improve system stability and throughput performance.
• Participate in the design and implementation of platform automation operation and maintenance, monitoring and alarm system, quickly locate and solve system problems in the production environment;
• Pay attention to the latest technological development in the field of high-frequency quantification, and promote the application of advanced technology in our own systems.

• Bachelor's degree or above, major in computer science, software engineering, electronic engineering, mathematics or related fields.
• More than five years of experience in developing quantitative trading systems, with experience in developing high-frequency/quantitative market-making systems in fields such as stocks, futures, options, or digital assets. Possess experience in connecting with mainstream CEX/DEX exchange APIs and analyzing protocols.
• Proficient in at least one mainstream programming language (C++/Java/Python/Golang/Rust, etc.), with practical experience in high-performance programming, low-level optimization, or asynchronous/multi-threaded programming.
• Familiar with order management, risk control, automatic market collection, low-latency network communication and other related implementation and optimization methods.
• In-depth understanding of data structures and algorithms, practical experience in time series databases, distributed systems, in-memory databases, etc. is preferred.
• Familiar with Linux operating systems, master mainstream databases (such as MySQL, Redis, etc.), have experience in implementing or configuring monitoring tools such as automated operation and maintenance, Prometheus, Grafana, etc.
• Emphasize code quality and system stability, possess system-level testing and performance analysis capabilities, and those with experience in DevOps/CI/CD are preferred.
• Possess good communication skills and teamwork spirit, strong learning ability and independent problem-solving ability.

• 理解并深入分析量化业务及高频交易需求，设计、开发和优化高性能策略交易系统及相关基础设施；
• 开发、维护高并发、低延迟的交易平台组件，包括订单管理、行情采集，策略引擎等；
• 与策略研究员/交易员紧密合作，根据策略需求研发支持回测、实盘部署的量化策略模块，参与策略结果分析与调优；
• 持续优化系统架构，降低交易延迟，提高系统稳定性与吞吐性能；
• 参与平台自动化运维、监控及告警体系的设计与实现，快速定位和解决生产环境中的系统问题；
• 关注最新高频量化领域的技术发展，推动先进技术在自有系统中的应用落地。

• 本科及以上学历，计算机科学、软件工程、电子工程、数学或相关专业背景；
• 五年以上量化交易系统开发经验，有股票、期货、期权、或数字资产等领域高频/量化做市系统研发经历，具备主流CEX/DEX交易所API对接和协议解析经验；
• 熟练掌握至少一门主流编程语言（C++/Java/Python/Golang/Rust等），对高性能编程、底层优化或异步/多线程编程有实际经验；
• 熟悉订单管理、风控、行情自动采集、低延迟网络通信等相关实现及优化方法；
• 深入理解数据结构与算法，有时序数据库、分布式系统、内存数据库等实际经验者优先；
• 熟悉Linux操作系统，掌握主流数据库（如MySQL、Redis等），具备自动化运维、Prometheus、Grafana等监控工具实施或配置经验；
• 注重代码质量和系统稳定性，具备系统级测试与性能分析能力，有DevOps/CI/CD经验者优先；
• 拥有良好的沟通能力和团队协作精神，具备较强的学习能力和独立解决问题能力；

• Bitget is the world's leading web 3 platform for copy trading and one of the world's largest and most respected exchanges
• We are a global company with staff members from over 50 different countries and regions
• We are growing and looking for world-class ambitious talents to help us continue this journey
• We have a streamlined structure that empowers employees to work efficiently, delivering the best results in a short timeframe
• We offer competitive salaries and benefits
• Blockchain technology and digital assets have the potential to change finance in a way no other technology can - be part of it!

Bitget