We are a leading high-frequency trading firm at the forefront of algorithmic trading, leveraging cutting-edge technology to achieve superior performance in global financial markets. Our team thrives on collaboration, innovation, and precision, delivering consistent results in a competitive industry.

Role Overview:

As a C++ Developer, you will play a key role in designing, implementing, and optimizing ultra-low latency trading systems. You will collaborate closely with quantitative researchers, traders, and other technologists to develop highly performant software solutions that drive the firm's trading success.

Key Responsibilities:

• Develop and maintain C++ applications for high-frequency trading, ensuring ultra-low latency and high reliability.
• Implement and optimize trading algorithms, order routing, and market data processing.
• Analyze and improve the performance of existing systems, reducing latency and increasing throughput.
• Collaborate with quantitative researchers to integrate trading strategies into the production environment.
• Debug, profile, and resolve performance bottlenecks in live trading systems.
• Stay updated with the latest advancements in C++ and related technologies to maintain a competitive edge.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Strong proficiency in modern C++ (C++17/20 preferred) with a focus on performance optimization.
• Experience in low-latency, high-performance system design and development.
• Solid understanding of networking protocols (TCP/IP, multicast) and hardware/software interaction.
• Familiarity with Linux operating systems and tools for debugging and profiling (gdb, perf, valgrind, etc.).
• Knowledge of financial markets and trading systems is a plus but not mandatory.
• Strong problem-solving skills and the ability to work effectively in a fast-paced environment.

Preferred Skills:

• Experience with multi-threading and parallel processing.
• Familiarity with FPGA integration or GPU acceleration for trading applications.
• Understanding of market microstructure and exchange protocols.
• Experience with scripting languages (Python, Bash) for automation and tooling.