Infrastructure Engineer - Low Latency Trading Systems

Our client, a leading hedge fund, is seeking a talented Infrastructure Engineer to join their high-performance trading technology team. They are looking for someone with experience in network analysis or financial markets and an individual solid understanding of market microstructure and low-latency trading environments. In this role, you will analyse network and exchange protocols, automate performance metrics, and lead experiments to enhance trading operations on latency-sensitive exchanges. This is your chance to become part of a team that thrives on solving complex challenges and building the systems that drive trading at scale. Your background will ideally include a degree in Computer Science, Engineering, or a related field, along with 3+ years of experience in network analysis or financial markets. You'll bring strong skills in Python, time-series analysis, and network protocols, paired with familiarity in market microstructure and low-latency trading environments. Experience working with market exchanges, FPGA-accelerated trading systems, and real-time monitoring tools will help you thrive in this role. Key Responsibilities * Analyse network and exchange protocols to identify inefficiencies and improve communication performance * Automate metric collection and build visualisation tools for real-time performance tracking * Design and conduct experiments to optimise trading infrastructure and reduce latency * Collaborate with internal teams and external exchanges to align strategies and share insights Key Requirements Degree in Computer Science, Engineering, or related field. 3+ years in network analysis or financial markets. Strong skills in Python, time series analysis, and network protocols. Familiarity with market microstructure and low-latency trading. Experience with market exchanges, FPGA-based trading systems, and real-time metrics.