Low-Latency C# / Rust Backend Engineer – HFT (Hybrid)

Low-Latency C# / Rust Backend Engineer – HFT (Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Client Server Ltd.

At a Glance

  • Tasks: Design and develop low-latency trading applications using C# and Rust.
  • Company: Join a profitable High Frequency Trading firm in Central London.
  • Benefits: Competitive salary, pension, hybrid work, and clear career progression.
  • Other info: Work in a non-hierarchical team with excellent growth opportunities.
  • Why this job: Make an impact in the exciting world of crypto trading with substantial ownership.
  • Qualifications: Experience in C# and a passion for backend development.

The predicted salary is between 60000 - 80000 Β£ per year.

Client Server Ltd. in London/UK is seeking a C# Software Engineer to design and develop low-latency trading applications using C#/.NET with Rust as you transition. You will work on backend development across the stack, in a non-hierarchical team with substantial ownership and problem solving.

The role offers a hybrid arrangement in Central London with 1–2 days remote work, a competitive package, pension, and clear career progression in a profitable High Frequency Trading firm focused on crypto.

Low-Latency C# / Rust Backend Engineer – HFT (Hybrid) employer: Client Server Ltd.

Client Server Ltd. is an excellent employer, offering a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, the company provides ample opportunities for career progression and competitive compensation packages, including bonuses. Joining our team means being part of an innovative environment where your contributions to designing and optimising data platform components will be valued and impactful.

Client Server Ltd.

Contact Details:

Client Server Ltd. Recruitment Team

We think you need these skills to ace Low-Latency C# / Rust Backend Engineer – HFT (Hybrid)

C#
.NET
Rust
Low-Latency Development
Backend Development
Problem Solving
Team Collaboration