Our client a global trading firm is seeking a Senior C++ Engineer to join a high-performance engineering team responsible for building and optimizing mission-critical trading infrastructure. This role offers the opportunity to work at the intersection of cutting-edge software engineering and quantitative trading, helping to drive the development of ultra-low latency systems that support global trading activity around the clock.

As a senior member of the engineering organization, you will play a key role in architecting and delivering high-performance components that directly impact execution quality, scalability, and operational efficiency. Working closely with traders, quantitative researchers, and fellow engineers, you will help transform sophisticated trading ideas into robust and highly optimized production systems.


Responsibilities

• Design, architect, and develop ultra-low latency trading infrastructure using modern C++.
• Optimize system performance across network, application, and operating system layers.
• Build and enhance trading engines, connectivity platforms, and market-facing infrastructure.
• Collaborate closely with quantitative researchers and traders to implement production-ready trading solutions.
• Conduct code reviews and drive engineering excellence across the development team.
• Troubleshoot performance bottlenecks and deliver scalable solutions for demanding production environments.
• Contribute to the stability, resilience, and long-term evolution of global trading platforms.
• Mentor engineers and promote best practices in software architecture, testing, and performance engineering.

Requirements

• Bachelor's or Master's degree in Computer Science or a related discipline.
• Strong commercial experience developing software in modern C++ (C++20 preferred).
• Deep understanding of Linux-based development and production environments.
• Expertise in multithreading, concurrency, memory optimization, and performance tuning.
• Experience with TCP/UDP networking and low-latency communication protocols.
• Background in financial markets, electronic trading, proprietary trading, market making, or quantitative trading environments.
• Strong analytical and problem-solving skills with the ability to operate in a fast-paced engineering culture.
• Experience with Python, market data platforms, risk systems, cryptocurrency trading infrastructure, or exchange connectivity would be beneficial.