Low-Latency C++ Developer (HFT)

Impax Recruitment; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading recruitment agency is seeking a senior C++ engineer based in New York to develop and enhance latency-critical trading systems. In this full-time role, you will collaborate closely with traders and engineers, focusing on core components such as market data handling and order routing. Strong modern C++ skills, along with experience in low-latency systems, are essential. This position offers an opportunity to work in a high-performance trading environment with a strong emphasis on reliability and performance tuning.

Qualifications

• Experience in building latency-critical trading systems.
• Hands-on expertise in optimizing performance across multiple system layers.
• Ownership of production systems and collaboration with traders.

Responsibilities

• Build and optimize latency-critical trading systems.
• Work on core components such as market data handling and order routing.
• Continuously tune performance across application design to OS.

Skills

Strong modern C++

Linux

Low-latency systems

High-performance systems

Electronic trading infrastructure

Job description

We are looking for a senior C++ engineer to build and optimize latency-critical trading systems in a high-performance proprietary trading environment.

You will work on core components such as market data handling, order routing, and execution logic, with a relentless focus on determinism, throughput, and reliability under real market conditions. The role involves close collaboration with traders and other engineers, ownership of production systems, and continuous performance tuning across the stack, from application design down to OS, memory, and networking behavior.

Strong modern C++ on Linux is essential, along with hands‑on experience in low‑latency or high‑performance systems; prior exposure to electronic trading infrastructure is a strong plus.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Finance