Low-Latency C++ Engineer for Real-Time Trading

talisman

Chicago (IL)

On-site

USD 130,000 - 210,000

Full time

3 days ago
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Job summary

TALISMAN is seeking a C++ Software Engineer to design and build the low-latency systems powering live trading, risk, and pricing across the firm. You will develop high-performance distributed components in a Linux environment, focusing on execution and market-data handling.

Collaborate with traders and engineers to translate strategy into production-grade code, employing multithreaded and lock-free techniques to maximize throughput and minimize latency across the stack.

Qualifications

  • Background in electronic trading environments preferred (prop/redact).
  • 4+ years of professional C++ experience in high-performance real-time systems.
  • Strong data structures, algorithms, concurrency, and memory management.
  • Linux system-level programming with networking fundamentals.
  • Hands-on debugging and profiling using common tools.
  • Nice to have: options/derivatives pricing or time-series analysis tools.

Responsibilities

  • Build and maintain high-performance distributed systems processing market data at scale.
  • Design low-latency C++ components for execution and order handling.
  • Collaborate with traders and engineers to implement strategy in production code.
  • Apply multithreaded and lock-free techniques to reduce latency and improve throughput.
  • Use profiling tools to identify bottlenecks and drive performance improvements.

Skills

C++
Real-time systems
Multithreading
Lock-free programming
Linux
Networking (TCP/IP)
Debugging

Tools

GDB
Wireshark
tcpdump
KDB+/q

Job description

TALISMAN is seeking a C++ Software Engineer to design and build the low-latency systems powering live trading, risk, and pricing across the firm. You will develop high-performance distributed components in a Linux environment, focusing on execution and market-data handling.

Collaborate with traders and engineers to translate strategy into production-grade code, employing multithreaded and lock-free techniques to maximize throughput and minimize latency across the stack.

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