Trading Systems Software Engineer

Location: Hong Kong and Sydney

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative environment that enables us to solve complex challenges. Our culture of innovation drives our ambition to deliver high-quality returns for our investors.

Your future role at QRT

We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment.

This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm.

The focus extends beyond delivering individual features. You will identify opportunities to create scalable, reusable capabilities that improve how trading systems are developed, deployed, monitored and operated across multiple teams and trading desks.

Working closely with both technical and business stakeholders, you will gain a detailed understanding of trading workflows and translate complex requirements into reliable, maintainable and well-designed software.

What you’ll do

• Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform.
• Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams.
• Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows.
• Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure.
• Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate.
• Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow.
• Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems.
• Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity.