Rust HFT Quant Developer: Low-Latency Trading (Remote)

Flowdesk; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% health coverage

Team events and offsites

Pension scheme

Learning and Development budget

International environment

Job summary

Flowdesk is seeking a hands-on Rust engineer to join our High-Frequency Trading team. You will own order management, feed handling, and strategy execution in production, developing systems close to market data and live trading P&L.

This role focuses on low-level networking, custom protocol parsing, and latency optimisations, with exposure to kernel-bypass techniques and high-throughput connections across FIX and WebSocket, in a fast-paced, globally distributed environment.

Qualifications

• Hands-on production experience with OMS, feed handlers, or strategy logic.
• Strong Rust – async and non-async experience valued.
• Low-level networking and latency-aware design.
• Fast parsing of binary protocols and custom formats.
• FIX protocol and WebSocket connectivity in production.
• Good understanding of distributed systems and state synchronization.

Responsibilities

• Develop and maintain Order Management System (OMS) components.
• Design and optimize feed handlers for high-throughput market data.
• Implement and integrate trading strategy logic with execution infrastructure.
• Write low-level networking code including protocol parsing and socket management.
• Build fast parsing pipelines for market data and orders.
• Ensure reliable exchange connectivity via FIX, WebSocket, and proprietary protocols.
• Conduct latency profiling, benchmarking and continuous performance improvement.

Skills

Rust

OMS

Feed handlers

Strategy logic

Networking

Parsing

FIX

WebSocket

Distributed systems

Tools

DPDK

RDMA

Lock-free data structures

C++

Job description

Flowdesk is seeking a hands-on Rust engineer to join our High-Frequency Trading team. You will own order management, feed handling, and strategy execution in production, developing systems close to market data and live trading P&L.

This role focuses on low-level networking, custom protocol parsing, and latency optimisations, with exposure to kernel-bypass techniques and high-throughput connections across FIX and WebSocket, in a fast-paced, globally distributed environment.