C++ Software Engineer : Trading : plus

We’re partnering with a top-tier quantitative trading firm to hire an experienced C++ Software Engineer to work on performance-critical trading and market data systems.

This is a role for engineers who care deeply about latency, determinism, and correctness, and who want to build systems where microseconds and design decisions genuinely matter.

You’ll be part of a core engineering team responsible for low-latency, high-throughput systems that sit directly on the trading path. The work spans strategy execution, market data processing, and core infrastructure, with a strong focus on performance and reliability.

You’ll collaborate closely with quants, traders, and other systems engineers, taking research ideas and turning them into robust, production‑grade software.

• Design and develop high-performance C++ systems used in live trading
• Build and optimise components for market data ingestion, pricing, and execution
• Profile, tune, and debug systems where latency and throughput are critical
• Contribute to system architecture and low-level design decisions
• Maintain high engineering standards around testing, code quality, and reliability

• Strong professional experience with modern C++ (C++17/20)
• Deep understanding of data structures, algorithms, and low-level system behaviour
• Experience working on latency-sensitive or performance-critical systems
• Strong knowledge of Linux, memory management, and concurrency
• Comfortable debugging complex issues across large, long-lived codebases

Experience with one or more of the following is a strong plus:

• Python (for research tooling, prototyping, or system glue)
• Rust or Go (modern systems or infrastructure tooling)
• Java or C# (broader backend exposure)
• Experience with networking, TCP/UDP, multicast, or kernel-level tuning
• Familiarity with build systems, CI/CD, and performance profiling tools

• Exposure to electronic trading systems or financial markets
• Experience with lock-free programming, custom allocators, or SIMD
• Background in distributed systems or real-time systems