Top Tech Jobs & Startup Jobs in London

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.

Support day-to-day operations of on-prem compute infrastructure, handle diagnostics, troubleshoot Linux systems, and participate in maintenance activities for HPC and Kubernetes environments.

Manage and maintain QRT's network infrastructure and automations. Responsibilities include incident resolution, developing monitoring tools, and supporting network automation.

Develop and enhance high throughput, Linux-based services within a core pricing and risk platform. Collaborate with traders and quants, focusing on low latency and distributed systems in C++ and Python.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

Design, implement, and optimize ultra-low-latency C++ systems for trading and market data. Profile and tune CPU, cache, and memory performance, collaborate with FPGA and hardware teams, and integrate network and kernel-level optimizations to minimize latency in live trading environments.

Join Qube Research & Technologies as a Network Engineer responsible for designing large-scale datacentre networks, ensuring high-performance connectivity, and collaborating with teams to enhance infrastructure and troubleshooting.

Provide high-level EA support to senior leaders including complex diary and inbox management, international travel coordination, meeting preparation, presentation/document review, expense processing, and stakeholder liaison. Support leadership meetings, off-sites, events, and collaborate with the EA team to improve processes and ensure seamless coverage while handling confidential information with discretion.

The role involves creating predictive crypto trading signals, monitoring strategies, analyzing data sets, and collaborating with researchers.