Software Engineer - Research Platforms

Skills this role screens for

About the role

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 our 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 join the Data Engineering team, which builds software that enables Quantitative Researchers to access and use data across cloud and on-premises computing environments. The team works with other engineering groups to support data-intensive research workloads.

Your Future Role within QRT

The work

You will

• Design, build and operate distributed software that manages data across research environments.
• Enable reliable and efficient data access for large-scale compute workloads.
• Address challenges involving data movement, locality, performance and scale.
• Develop services and tooling used by Quantitative Researchers and engineering teams.
• Improve the security, observability and resilience of data systems.
• Work with researchers and engineers to understand requirements and deliver practical solutions.
• Own systems from design and implementation through production operation.

Who they want

Your Present Skillset

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.

• At least five years of experience building and operating production software systems.
• Strong software engineering skills in Go, Python, C++, Rust, Java or a similar language.
• Experience designing distributed systems at scale, with an understanding of performance, concurrency, fault tolerance and reliability.
• Experience building services or platforms used by other engineers.
• Knowledge of large-scale storage, data movement, or data-intensive computing workloads.
• Understanding of how storage and networking affect distributed system performance.
• Experience working across cloud and on-premises environments.