Senior C++ Engineer: High-Performance Live Trading Systems

Durlston Partners; New York (NY); On-site; USD 250,000 - 360,000; Full time

Benefits offered by this job

Competitive compensation

Ownership of technology

Live trading systems

Job summary

Durlston Partners in New York is seeking a senior C++ engineer for the core trading technology team. This hands-on role involves building performance-sensitive systems used in live trading with significant ownership and collaboration with quantitative researchers, traders, and engineers.

You will design high‑performance C++ systems, improve latency, throughput, reliability, and scalability, and profile workloads from software to hardware to ensure production readiness.

Qualifications

• 5+ years of professional C++ development experience.
• Background in performance-critical or low-latency systems.
• Strong understanding of computer architecture, OS, networking, and concurrency.
• Experience building multithreaded and/or distributed production systems.
• Excellent debugging, profiling, and performance optimization skills.

Responsibilities

• Design and build high-performance C++ systems supporting live electronic trading.
• Improve latency, throughput, reliability, and scalability across core components.
• Collaborate with researchers, traders, and engineers to move ideas into production.
• Profile and optimize systems at software and hardware levels.
• Contribute to architecture, testing, production reliability, and engineering standards.

Skills

C++

Low-latency

Multithreading

Distributed systems

Profiling & debugging

Networking

Computer architecture

Operating systems

Concurrency

Performance optimization

Job description

Durlston Partners in New York is seeking a senior C++ engineer for the core trading technology team. This hands-on role involves building performance-sensitive systems used in live trading with significant ownership and collaboration with quantitative researchers, traders, and engineers.

You will design high‑performance C++ systems, improve latency, throughput, reliability, and scalability, and profile workloads from software to hardware to ensure production readiness.