Responsibilities 1）Designing, implementing, deploying and maintaining a low latency, high frequency trading platform, from market data handling to trading strategy framework and components 2）Designing, implementing, deploying and maintaining a high performance, massively scalable research platform that integrates seamlessly with our trading platform 3）Designing, implementing and deploying data analysis and systems monitoring tools, with a view towards quality control and early error detection 4）Evaluating third-party libraries and frameworks in detail and leveraging existing state-of-the-art solutions to solve business problems when applicable 5）Contributing to technology intelligence and tech debt minimization by staying informed on modern trends and developments across the business tech space and ensuring up-to-date best practices in the software lifecycle are maintained Qualifications 1）Solid academic background in computer science, mathematics, or a similar quantitative field; a Master’s degree is preferred 2）Strong background in data structures, algorithms and programming 3）At least 5 years of practical experience with modern C++, ideally in a high performance context. Real-world experience with Python is highly appreciated. Rust and/or functional language experience is also appreciated, but not required 4）Strong experience in the design, implementation and deployment of high performance distributed systems or low latency trading systems highly appreciated 5）Good working knowledge of Linux both as a user and development target 6）A strong ownership and self-driven mindset, with the ability to manage multiple tasks and priorities 7）Ability to communicate clearly and effectively both at a high level and in the details