4 of 4 Remote/Hybrid Rust Software Engineer Jobs in London

Junior Backend Software Engineer/Developer (Rust HFT) London/WFH to £90k Are you a bright, ambitious Software Engineer with a first class education? You could be progressing your career at a hugely profitable High Frequency Trading firm that specialise in crypto markets. What … Salary to £90k Significant bonus Pension Hybrid working Career progression Your role: As a Junior Backend Software Engineer you will design and develop backend services for real-time risk, pricing, trading engines and market making systems, working across the full software development lifecycle using Rust. ...

Backend Software Engineer/Developer (C++ Rust Low Latency Trading) London/WFH to £180k+ Opportunity to join a hugely profitable High Frequency Trading firm that specialise in crypto markets and earning substantial bonuses in a senior, hands-on Backend Software Engineer role, working with … Rust. As a Backend Software Engineer you will design and develop high throughput backend services for microsecond real-time risk, pricing, trading engines and market making systems, working across the full software development lifecycle using Rust (and some C++ for legacy systems). You'll collaborate ...

Junior Backend Software Engineer/Developer (Rust HFT) London/WFH to £90k Are you a bright, ambitious Software Engineer with a first class education? You could be progressing your career at a hugely profitable High Frequency Trading firm that specialise in crypto markets. What ...

Role: Rust Distributed Systems Software Engineer - Up to £200k + Bonus Salary: Up to £200k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in Rust, Python or C++) This firm is an elite company with high tech … working on: • Designing and developing scalable, tested and production grade distributed systems • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml • Building out Machine Learning Infrastructure and tweaking research models What else ...