Trading Systems Software Engineer

Trading Systems Developer - C++ - Low Latency - HFT - Miller Maxwell is retained by one of the most technically sophisticated high-frequency trading firms in the market. This is a rare opportunity to work where microseconds matter - building the systems that sit at the heart of live trading operations.

Trading Systems Developer, the position:

You'll join a high-calibre markets engineering team embedded directly alongside traders and quants, building and optimising the low-latency infrastructure that powers multiple trading desks. This is genuine systems engineering - not maintaining legacy code, but architecting solutions where performance is the product.

With significant programmes of work planned across Q3 and Q4, you'll have immediate ownership of meaningful problems: reducing latency, hardening platform stability, and delivering tooling that traders actually rely on. The environment is collaborative, fast-paced, and technically uncompromising.

• Designing, building, and optimising low-latency trading systems in C++ across multiple desks
• Identifying and eliminating performance bottlenecks - from application logic through to kernel and network layers
• Collaborating with traders and quants to translate strategy requirements into robust, production-ready software
• Contributing to platform architecture discussions and taking end-to-end ownership of key engineering initiatives
• Rigorous testing, profiling, and debugging across complex distributed systems
• Defining and refining development estimates as part of an agile delivery team.

• 5+ years of C++ development experience in a performance-sensitive environment.
• Demonstrable experience in HFT or ultra-low-latency systems development.
• Strong understanding of capital markets structure and trading lifecycle
• Solid Linux fundamentals - comfortable at the command line and in production environments
• SQL proficiency and strong debugging and problem-solving instincts

• Exposure to options trading systems or derivatives infrastructure
• Quantitative background - mathematics, statistics, or a related discipline
• Secondary language experience:
  Python, Java, or C
• An interest or experience within crypto trading.
• A STEM related degree.
• Agile delivery experience in a fast-moving engineering team