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TXSE

Core Developer - Matching Engine Team

Dallas, Texas, United States

Location
Dallas, Texas, United States
Work
Hybrid
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
13 months ago

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386 engineering jobs open in Dallas: 10% remote, 64 posted in the last 30 days.

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About the role

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.

What you will do in 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.

Required Skills

  • Expert proficiency in low-latency programming, especially with modern C++, Java and Kotlin
  • 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
  • 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.

Source

Posted by TXSE on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 12:19 UTC; the original is the reference.

View the original ad ↗

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