Edgehog Trading-posted about 2 months ago
Full-time • Mid Level
Chicago, IL
11-50 employees

Design, implement, and maintain low-latency C++ applications for trading strategy execution Collaborate closely with traders, quants, and other engineers to translate strategies into robust, production-ready systems Optimize performance at every level: networking, OS, compiler, and code Contribute to system architecture, instrumentation, and deployment pipelines Debug, monitor, and improve systems operating under real-world conditions

  • Design, implement, and maintain low-latency C++ applications for trading strategy execution
  • Collaborate closely with traders, quants, and other engineers to translate strategies into robust, production-ready systems
  • Optimize performance at every level: networking, OS, compiler, and code
  • Contribute to system architecture, instrumentation, and deployment pipelines
  • Debug, monitor, and improve systems operating under real-world conditions
  • Strong proficiency in modern C++ (C++17 and above)
  • Deep understanding of computer science fundamentals (data structures, algorithms, concurrency)
  • Strong debugging, profiling, and performance-tuning skills
  • Comfortable working in a Linux environment and familiar with system-level programming
  • Ability to work independently and drive projects from idea to production
  • Effective communication and collaboration skills in a high-stakes, fast-moving environment
  • Experience building low-latency, high-throughput systems, preferably in a trading environment
  • Experience with market data feeds, exchange connectivity, or order management systems
  • Familiarity with scripting languages (Python, Bash) for tooling and automation
  • Background in finance, quantitative systems, or high-frequency trading
  • Knowledge of networking (TCP/UDP, kernel bypass, packet capture)
  • Exposure to FPGA acceleration, GPU computing, or other hardware optimizations
  • Competitive compensation with performance-based bonuses
  • Cutting-edge technology and infrastructure
  • Flat organizational structure and direct impact on trading results
  • Collaborative, intellectually rigorous environment
  • Strong focus on mentorship, autonomy, and growth
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