Lead Software Engineer - Market Data (Low-Latency Trading Systems)

• System Design & Development: Lead the architectural design and hands-on implementation of core components for our electronic trading platform, including exchange connectivity, market data handlers, order execution engines, and risk management systems.
• Performance Engineering: Drive initiatives to continuously optimize the latency and throughput of our trading applications. This involves deep performance analysis, profiling, and tuning at all levels of the stack – from operating system interactions and network protocols to efficient algorithm design and hardware utilization.
• Collaboration & Innovation: Partner closely with quantitative researchers and traders to translate sophisticated trading strategies into highly optimized and reliable software, ensuring technical solutions align directly with business goals. Research and evaluate new technologies to keep our trading infrastructure at the forefront.
• Reliability & Support: Build fault-tolerant and resilient systems. Participate in the entire software lifecycle, including deployment, monitoring, and providing expert-level support for critical production systems to ensure maximum uptime and stability.
• Code Quality & Best Practices: Uphold and champion high standards for code quality, testability, and maintainability through rigorous code reviews, automated testing, and adherence to modern software engineering principles.
• Mentorship: Act as a technical leader and mentor to less experienced engineers, sharing knowledge, guiding development efforts, and fostering a collaborative and growth-oriented environment.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5 years of professional experience in software development, with a strong emphasis on high-performance, low-latency systems.
• Expert-level proficiency in modern C (C 17/20 preferred), with a deep understanding of multi-threading, concurrency, memory management, and optimization techniques.
• Solid understanding of operating system internals (Linux preferred), network programming (TCP/IP, UDP, multicast), and hardware interactions.
• Demonstrated experience with system-level debugging, profiling, and performance tuning tools.
• Strong foundation in data structures, algorithms, and computational complexity.
• Experience with scripting languages like Python for automation, analysis, and tooling.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in a real-time, demanding environment.
• Strong communication skills, capable of effectively collaborating with both technical and non-technical stakeholders.
• Proactive, self-motivated, and able to take ownership of projects from concept to deployment.
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• Prior experience in financial technology, high-frequency trading, or market making. (e.g. Solarflare/Mellanox NICs, kernel bypass, etc.)
• Familiarity with specific exchange protocols and scale (e.g. ITCH/ITTO, PITCH, OPRA, etc.)
• Familiarity with tooling and monitoring (e.g. Wireshark/pcap, perf tools, grafana) 
• Exposure to distributed systems and messaging technologies.
• Knowledge of various asset classes (equities, options, futures) and market microstructure.
• Experience with hardware acceleration (FPGA/GPU programming).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.