-We are building a modern market data platform for the global market, focused on delivering high-quality, standardized data for quantitative research. -We are looking for a Software Development Engineer with around 2‒5 years of experience to join the team at an early stage. -This is a hands-on engineering role with broad scope and real ownership. -You will work on core systems that power the full data workflow, and you will have the opportunity to grow quickly by solving important problems in a fast-moving, highly technical environment. -This role is a good fit for engineers who are smart, curious, learn quickly, and enjoy building real systems. -Market data experience is not required. What matters more is strong engineering fundamentals, solid problem-solving ability, and a strong sense of responsibility. Key Responsibilities： -Design and build the core components of a modern market data platform, capable of processing, storing, and serving PB-scale datasets efficiently. -Develop high-performance, end-to-end data workflows across distributed systems, focusing on high-throughput ingestion, reliable processing, and low-latency delivery. -Dive into data feature patterns and explore market microstructure to deliver high-quality, standardized data that directly empowers quantitative research. -Investigate and resolve complex system challenges, optimizing resource-intensive pipelines and ensuring the high availability of production environments. -Write clean, maintainable, and well-tested code, contributing to a collaborative engineering culture that values smart design and system stability. -Leverage modern data tooling, cloud infrastructure, and AI tools to continuously improve development iterations and engineering productivity. Requirements： -Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, or a related field. -2‒5 years of software engineering experience. -Strong programming skills in at least one mainstream language such as C++, Rust, Go, or Python. -Solid computer science fundamentals and strong problem-solving ability. -Good engineering sense, including code quality, debugging, testing, and maintainability. -Learns quickly and adapts well in a fast-moving environment. -Strong sense of ownership and responsibility. Preferred Qualifications： -Background in competitive programming or algorithm contests. -Strong academic or contest performance in algorithms, mathematics, or related areas. -Interest in using AI tools to improve engineering productivity. -Experience with backend systems, data-intensive systems, or data pipelines. -Familiarity with cloud infrastructure or modern data tooling.