Teams at Qube Research & Technologies

Design, build, and optimize ultra-low-latency distributed trading systems in modern C++. Collaborate with quantitative researchers and traders to translate strategies into production systems, develop execution capabilities, and improve latency, scalability, reliability, and performance. Responsibilities include multithreaded systems programming, networking, Linux optimization, electronic trading connectivity, and potentially hardware acceleration using FPGA technology.

Design and develop high-performance C++ platforms, services, and infrastructure supporting ETF technology. Build data processing, messaging, connectivity, workflow, and integration components for real-time and reference data. Improve production-system performance, resilience, scalability, monitoring, and observability while collaborating with engineers, researchers, and business stakeholders. Contribute to architecture, testing, code quality, and long-term platform strategy.

Design, operate, and evolve QRT’s global AWS cloud network infrastructure. Responsibilities include building scalable and resilient network architectures, supporting cloud and datacenter connectivity, implementing infrastructure as code, evaluating AWS networking services, developing governance and observability standards, and resolving complex connectivity and performance issues. The role requires strong AWS networking, security, traditional networking, Terraform, and Python expertise, with collaboration across infrastructure, applications, quantitative research, and trading teams.