Design, develop, and optimize ultra-low-latency, high-throughput HFT trading systems using C++, Rust, or Go. Implement trading algorithms, order execution, and market-data pipelines, collaborate with quants and infrastructure teams, profile and resolve production performance issues, and propose platform improvements.
We are hiring for one of our ecosystem projects in the digital asset space. Currently seeking a Software Developer with expertise in C++, Rust, and/or Golang to design, develop, and optimize our HFT platform. You will work on low-latency, high-throughput systems, collaborating with cross-functional teams to deliver robust and scalable solutions for real-time trading environments.
Job Description:
- Design, develop, and maintain high-performance trading systems using C++, Rust, and/or Golang.
- Optimize code for ultra-low latency and high throughput to meet the demands of HFT environments.
- Implement and enhance trading algorithms, order execution systems, and market data processing pipelines.
- Collaborate with quantitative researchers, traders, and infrastructure teams to integrate new features and improve system performance.
- Write clean, maintainable, and well-documented code adhering to best practices.
- Debug and resolve complex performance and reliability issues in production systems.
- Stay updated on emerging technologies and propose innovative solutions to enhance platform capabilities.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of professional experience in software development, with a focus on C++, Rust, or Golang.
- Strong understanding of low-latency programming, multithreading, and concurrency.
- Experience with network programming (e.g., TCP/IP, UDP) and socket-level optimizations.
- Familiarity with Linux/Unix environments and performance profiling tools.
- Knowledge of data structures, algorithms, and system design for high-performance applications.
- Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Nice to have:
- Experience in high-frequency trading or financial systems development.
- Knowledge of market data protocols (e.g., FIX, ITCH, OUCH) and exchange connectivity.
- Familiarity with Rust’s memory safety features or Golang’s concurrency model (goroutines, channels).
- Understanding of distributed systems and microservices architecture.
- Experience with performance optimization techniques, such as cache locality and lock-free programming.
- Exposure to quantitative finance or trading strategies is a plus.
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