Senior Software Engineer — Low-Latency Trading Systems (Python)

About The Role We are a proprietary trading and market-making firm operating across global markets, executing strategies that depend on fast, reliable decision-making and execution. We're looking for a Senior Software Engineer to design, build, and optimize the Python-based systems that power our trading operations — from market data processing and order execution to risk and monitoring. This is a hands-on engineering role focused on building high-performance, production-grade Python systems for a latency-sensitive trading environment. You'll work closely with quantitative researchers, traders, and infrastructure engineers to keep our systems fast, reliable, and competitive.

What You'll Do

• Design, build, and maintain trading infrastructure in Python, including market data handlers, order execution logic, and strategy runners
• Optimize Python code paths for low latency and high throughput using techniques such as asyncio, multiprocessing, vectorization (NumPy), and just-in-time compilation (Cython, Numba, or similar)
• Build and maintain tooling for research-to-production workflows, enabling quants to move strategies into live trading quickly and safely
• Develop and improve simulation, backtesting, and replay frameworks to validate strategy and infrastructure changes
• Build robust monitoring, alerting, logging, and risk-control systems for live trading
• Profile production systems to identify and resolve performance bottlenecks
• Collaborate with quant researchers to understand strategy logic and ensure efficient, correct production implementations
• Participate in incident response and on-call rotation for production trading systems
• Conduct code reviews, mentor junior engineers, and help shape engineering standards and practices
• Continuously evaluate new tools, libraries, and techniques relevant to high-performance Python systems

What We're Looking For

• 3+ years of professional software engineering experience, with significant time spent on performance-sensitive or production trading systems
• Expert-level Python, including deep familiarity with the asyncio ecosystem, concurrency/parallelism patterns, and performance profiling
• Experience writing performant Python using NumPy/pandas, and optimizing hot paths with Cython, Numba, or similar tools
• Solid understanding of networking fundamentals (TCP/UDP, multicast) and how they affect latency in trading systems
• Experience with exchange connectivity or market data protocols (e.g., FIX, WebSocket APIs, REST APIs, proprietary feeds)
• Strong fundamentals in data structures, algorithms, and systems-level performance optimization
• Comfortable working in a fast-paced, low-latency production environment with high accountability
• Experience with profiling and performance analysis tools (cProfile, py-spy, line_profiler)
• Degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field (or equivalent experience)

Nice to Have

• Prior experience at an HFT, market-making, or proprietary trading firm
• Experience interfacing Python with C/C++ extensions (pybind11, ctypes, Cython)
• Experience with high-performance messaging systems (ZeroMQ, Kafka, Redis pub/sub)
• Exposure to colocation environments, bare-metal infrastructure, and network tuning
• Familiarity with futures, options, equities, or crypto market microstructure