Low-Latency C++ Engineer – Real-Time Trading Systems

eFinancialCareers; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

eFinancialCareers is seeking a Low-Latency C++ Engineer to join a team building the core technology stack behind a fully automated electronic trading platform operating across global markets. You will design, implement, and optimise systems for market data ingestion, order execution, and exchange connectivity, working with quantitative researchers and trading teams.

The role demands deep knowledge of real-time distributed systems, memory management and low-latency networking, with a focus on

Qualifications

• Production C++ experience with modern language standards.
• Strong knowledge of memory management, concurrency and perf optimization.
• Experience in high-performance, distributed or real-time systems.
• Able to solve complex production problems under tight latency constraints.

Responsibilities

• Design and develop low-latency trading system components in modern C++.
• Build high-performance exchange connectivity for market data and order execution.
• Engineer real-time systems with strict performance, reliability and correctness needs.
• Optimize end-to-end trading infrastructure for microsecond-level performance.
• Collaborate with researchers and traders to translate requirements into production solutions.
• Debug and analyse live production systems and exchange behaviour.
• Extend platforms supporting simulation, research and live trading environments.

Skills

C++ programming

Memory management

Concurrency

Performance optimisation

Real-time systems

Linux

Networking

Problem solving

Full stack understanding

Independent work & collaboration

Tools

Linux

Sockets/Networking

Job description

eFinancialCareers is seeking a Low-Latency C++ Engineer to join a team building the core technology stack behind a fully automated electronic trading platform operating across global markets. You will design, implement, and optimise systems for market data ingestion, order execution, and exchange connectivity, working with quantitative researchers and trading teams.

The role demands deep knowledge of real-time distributed systems, memory management and low-latency networking, with a focus on