Core Developer – Matching Engine Team

Texas Stock Exchange | TXSE Group Inc

full-time

Posted on: 10/13/2025

Location Type: Hybrid

Location: Dallas • Texas • 🇺🇸 United States

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Mid-LevelSenior

Distributed SystemsJavaLinuxRustTCP/IP

About the role

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.

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.
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Tip: use these terms in your resume and cover letter to boost ATS matches.

C++JavaKotlinZigRustmulti-threadingconcurrencyparallel programminglow-latency programmingnetwork programming