TXSE
Overview
We are seeking a highly skilled Low-Latency Software Engineer to join our technology team responsible for building and maintaining the core infrastructure of our equities trading platform. You will focus on developing and optimizing ultra-low-latency systems that facilitate high-speed, high-volume equity trading, ensuring the exchange remains fast, reliable, and resilient. Responsibilities
Design, develop, and maintain low-latency trading systems that ensure efficient and secure execution of equity trades. Work on matching engines, order routing, and market data distribution systems to optimize trade execution performance. Build systems to process millions of transactions per second with minimal latency and maximum throughput. Implement real-time processing pipelines for financial data, ensuring high accuracy and consistency in time-sensitive environments. Conduct latency analysis, performance benchmarking, and system optimization using advanced profiling techniques. Collaborate with exchange operations teams, traders, and other developers to meet the rigorous performance demands of equity markets. Manage and optimize network protocols for market data distribution, including the handling of TCP/IP and UDP connections for rapid data dissemination. Develop robust systems to handle bursty, high-throughput market conditions, ensuring fault tolerance, high availability, and minimal downtime. Implement low-latency algorithms and strategies for trade execution while ensuring compliance with exchange regulations. Required Skills
Expert proficiency in low-latency programming, especially with C++, Java, Kotin, Zig or Rust. In-depth knowledge of multi-threading, concurrency, and parallel programming to develop efficient real-time systems. Extensive experience with high-frequency, low-latency software systems, ideally in financial markets, exchanges, or trading environments. Strong understanding of network programming and socket communication (e.g., TCP/IP, UDP) for market data distribution and order execution. Familiarity with matching engines, order books, and equity trading protocols (e.g., FIX, OUCH, ITCH). Experience optimizing software for low-latency I/O, memory management, and CPU cache utilization. Knowledge of kernel bypass techniques such as DPDK, RDMA, or TCPDirect for minimizing network latency. Experience with Linux tuning and real-time operating systems to enhance system performance. Proficiency in latency measurement and profiling tools (e.g., perf, gdb, Valgrind) for analyzing and optimizing system performance. Familiarity with distributed systems, message buses, and event-driven architectures for building scalable, fault-tolerant applications. Understanding of financial markets, equity instruments, and market microstructure. Preferred Qualifications
Knowledge of high-frequency trading environments or other asset classes beyond equities. Familiarity with low-latency storage solutions for market data. Knowledge of Reg NMS and other regulatory requirements related to equity trading.Soft Skills: Strong analytical and problem-solving abilities, particularly under high-pressure situations. Attention to detail with a strong focus on precision and performance.Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Team player with a collaborative mindset, but able to work independently on complex tasks. Adaptable to the fast-moving, dynamic nature of financial markets and technological innovation.
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We are seeking a highly skilled Low-Latency Software Engineer to join our technology team responsible for building and maintaining the core infrastructure of our equities trading platform. You will focus on developing and optimizing ultra-low-latency systems that facilitate high-speed, high-volume equity trading, ensuring the exchange remains fast, reliable, and resilient. Responsibilities
Design, develop, and maintain low-latency trading systems that ensure efficient and secure execution of equity trades. Work on matching engines, order routing, and market data distribution systems to optimize trade execution performance. Build systems to process millions of transactions per second with minimal latency and maximum throughput. Implement real-time processing pipelines for financial data, ensuring high accuracy and consistency in time-sensitive environments. Conduct latency analysis, performance benchmarking, and system optimization using advanced profiling techniques. Collaborate with exchange operations teams, traders, and other developers to meet the rigorous performance demands of equity markets. Manage and optimize network protocols for market data distribution, including the handling of TCP/IP and UDP connections for rapid data dissemination. Develop robust systems to handle bursty, high-throughput market conditions, ensuring fault tolerance, high availability, and minimal downtime. Implement low-latency algorithms and strategies for trade execution while ensuring compliance with exchange regulations. Required Skills
Expert proficiency in low-latency programming, especially with C++, Java, Kotin, Zig or Rust. In-depth knowledge of multi-threading, concurrency, and parallel programming to develop efficient real-time systems. Extensive experience with high-frequency, low-latency software systems, ideally in financial markets, exchanges, or trading environments. Strong understanding of network programming and socket communication (e.g., TCP/IP, UDP) for market data distribution and order execution. Familiarity with matching engines, order books, and equity trading protocols (e.g., FIX, OUCH, ITCH). Experience optimizing software for low-latency I/O, memory management, and CPU cache utilization. Knowledge of kernel bypass techniques such as DPDK, RDMA, or TCPDirect for minimizing network latency. Experience with Linux tuning and real-time operating systems to enhance system performance. Proficiency in latency measurement and profiling tools (e.g., perf, gdb, Valgrind) for analyzing and optimizing system performance. Familiarity with distributed systems, message buses, and event-driven architectures for building scalable, fault-tolerant applications. Understanding of financial markets, equity instruments, and market microstructure. Preferred Qualifications
Knowledge of high-frequency trading environments or other asset classes beyond equities. Familiarity with low-latency storage solutions for market data. Knowledge of Reg NMS and other regulatory requirements related to equity trading.Soft Skills: Strong analytical and problem-solving abilities, particularly under high-pressure situations. Attention to detail with a strong focus on precision and performance.Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Team player with a collaborative mindset, but able to work independently on complex tasks. Adaptable to the fast-moving, dynamic nature of financial markets and technological innovation.
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