Software Developer C++

At Cantor Fitzgerald Technology Markets LLC, we are seeking a talented Software Developer C++ to join our dynamic team in London. As a key member of our Electronic Products department, you will play a vital role in designing, developing, and enhancing our matching engines, FIX gateways, and other electronic trading applications. Your expertise in Java and C++ will be instrumental in building and maintaining high-performance, low-latency solutions that power our financial services business.

• Design, develop, and enhance matching engines, FIX gateways, and other electronic trading applications.
• Build and maintain high-performance, low-latency applications using Java and C++.
• Develop and support client-server applications and real-time market data or trading gateways.
• Maintain and enhance existing applications written in Java, JavaScript, and related technologies.
• Work with FIX and other electronic trading protocols, ensuring seamless integration.
• Develop efficient in-memory data structures and processing techniques for optimal performance.
• Troubleshoot production issues and continuously improve application stability and scalability.
• Collaborate with cross-functional teams, including trading, product, and infrastructure, to deliver robust trading solutions.
• Support the full software development lifecycle, ensuring efficient and effective deployment and maintenance.

• At least 5 years of professional software development experience, with a strong focus on Java development.
• Working knowledge of C and C++, along with experience or familiarity with Python, is essential.
• Hands-on experience in developing applications using FIX or similar electronic trading protocols is a must.
• A proven track record in working within a high-frequency, low-latency, or electronic trading environment.
• Strong understanding of networking concepts and protocols, including TCP/IP, UDP, unicast, and multicast.
• Good knowledge of Linux, including system calls, multithreading, inter-process communication, sockets, and scheduling.
• Experience with performance-focused programming techniques for high-frequency trading systems.
• Excellent understanding of efficient in-memory data management and associated optimization techniques.
• Knowledge of NUMA architectures and NUMA-aware programming practices is an advantage.
• Experience in developing client-server applications and a strong grasp of software performance, concurrency, and networking.
  
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