Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You will work on the infrastructure that powers data ingestion, processing and distribution across the firm. Data is central to QRT’s research and trading activities, and the scale and complexity of our platform continues to grow. The role involves solving distributed systems challenges across real time messaging, large scale data processing, distributed storage and high performance backend services.
Your future role within QRT
- Design and deliver production infrastructure that supports large scale data ingestion, processing and distribution
- Contribute to the architecture and evolution of core data platform components
- Lead technical design discussions and influence engineering decisions across the platform
- Maintain high engineering standards through code reviews, design reviews and technical guidance
- Mentor engineers and contribute to a collaborative engineering culture
- Work with stakeholders and engineering teams to translate business and technical requirements into scalable infrastructure solutions
- Develop systems that support real time messaging, distributed storage, data processing and large scale analytics workloads
Your present skillset
- 7 or more years of professional software engineering experience in distributed systems or high performance backend engineering
- Experience designing, building and operating large scale production systems
- Strong proficiency in Rust, C++, Java or another server side programming language
- Experience developing high performance services, including multithreading, asynchronous processing, caching and performance optimisation
- Understanding of large scale data platforms and the trade offs involved in distributed databases, data lakes, messaging systems and related technologies
- Strong communication skills and the ability to work effectively across teams and disciplines
- Experience mentoring engineers and contributing to technical leadership is beneficial
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
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