Low-Latency C++ Trading Systems Engineer

Tribus; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive base salary

Comprehensive benefits package

Job summary

Tribus is partnering with a global quantitative trading firm expanding its APAC market data engineering capability. This role focuses on real-time market data systems, C++ performance, and ultra-low latency.

You’ll work with researchers, infrastructure engineers, and trading tech teams to design, test, and deploy scalable, high-speed systems powering QI trading strategies across the region.

Strong problem-solving and collaboration are required to thrive in a fast-paced, data-driven environment.

Qualifications

• 5+ years of experience developing high-performance C++ applications.
• Strong knowledge of multi-threading, sockets, IPC, STL, Boost, and generic programming.
• Experience with profiling, performance tuning, and latency optimisation.
• Strong OO design and software engineering principles.
• Experience across the full software development lifecycle.
• Excellent problem-solving and attention to detail.

Responsibilities

• Low-latency market data and exchange connectivity systems.
• Performance optimisation, profiling, and latency reduction.
• Multi-threaded and network-intensive applications.
• Scalable systems supporting high-frequency trading strategies.
• Exchange feeds and market data infrastructure.
• Collaboration with research, infrastructure, and trading teams.
• End-to-end development from design through testing and production deployment.

Skills

C++ high-performance

Multithreading

Sockets

IPC

STL

Boost

Generic programming

Python

SDLC / Full lifecycle

Problem-solving

Job description

Tribus is partnering with a global quantitative trading firm expanding its APAC market data engineering capability. This role focuses on real-time market data systems, C++ performance, and ultra-low latency.

You’ll work with researchers, infrastructure engineers, and trading tech teams to design, test, and deploy scalable, high-speed systems powering QI trading strategies across the region.

Strong problem-solving and collaboration are required to thrive in a fast-paced, data-driven environment.