Latency-Driven C++ Systems Engineer

Fintal Partners; New York (NY); On-site; USD 120,000 - 210,000; Full time

Job summary

Fintal Partners in New York seeks experienced C++ Software Engineers to join a latency-sensitive trading environment. You will work on high-performance systems spanning market data, execution, and distributed architectures, with close collaboration across technical teams.

You’ll tackle challenges at the system level, profile production code for latency and throughput, and optimize CPU and network performance in a Linux environment, shaping scalable infrastructure for research and trading

Qualifications

• 2+ years of professional software engineering experience.
• Strong professional experience with modern C++.
• Strong understanding of computer science and software engineering fundamentals.
• Experience working in Linux/UNIX environments.
• Knowledge of systems performance, networking, concurrency, or distributed systems.
• Strong debugging and problem-solving ability.
• Ability to reason about software at both the architectural and implementation level.
• Interest in performance optimization and technically challenging systems.

Responsibilities

• Build and optimize high-performance C++ systems.
• Develop low-latency market data, execution, and trading infrastructure.
• Profile and optimize production code for latency and throughput.
• Work with Linux, networking, and performance-critical systems.
• Improve system and processor-level performance.
• Build scalable infrastructure supporting technical and research workflows.

Skills

C++

Linux

Networking

Distributed systems

Performance optimization

Debugging

Architecture

Job description

Fintal Partners in New York seeks experienced C++ Software Engineers to join a latency-sensitive trading environment. You will work on high-performance systems spanning market data, execution, and distributed architectures, with close collaboration across technical teams.

You’ll tackle challenges at the system level, profile production code for latency and throughput, and optimize CPU and network performance in a Linux environment, shaping scalable infrastructure for research and trading