Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across our 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 that enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver extremely high quality returns to our investors. As part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure. This role sits at the intersection of of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services that researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling. What You'll Do - Design, build, and operate distributed systems that manage compute workloads and data access across large-scale infrastructure - Develop platform APIs and tooling that improve the productivity of quantitative researchers - Improve the reliability, scalability, and performance of compute-intensive research workflows - Build solutions for scheduling, resource management, observability, and security - Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities - Take ownership of systems end-to-end, from design and implementation to production and operation What We're Looking For Required: - BS, MS, or PhD in Computer Science or related field, or equivalent practical experience - 5+ years building and operating large-scale distributed systems in production - Strong proficiency in C++, TomML, Rust, Go, or similar systems languages - Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance - Experience designing services, platforms, or infrastructure used by other engineers Preferred: - Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments - Familiarity with GPU-accelerated workloads and ML frameworks like PyTorch or TensorFlow - Experience supporting researchers, data scientists, or other technical users - Exposure to quantum finance or large-scale data-intensive environments Why Join QRT? - Solve complex distributed systems and infrastructure problems at scale - Build platforms that directly accelerate research and discovery - Work with world-class quantitative researchers and engineers - Take ownership of critical systems in a collaborative environment QRT is an equal opportunity employer. We value diversity and equality of opportunity as essential to our success. We empower all employees to work openly and respectfully to foster creativity and innovation. We also offer flexible working and additional benefits.

Research Platform - Software Engineer