Software Engineer – Low-Latency Trading Systems

FULLY REMOTE

A leading quantitative trading firm is looking for a talented Software Engineer to help design and build the infrastructure that powers its real-time, low-latency trading systems. You'll work in a fast-paced, collaborative environment where engineering excellence directly drives trading performance.

This is a high-impact opportunity to work closely with traders and quantitative researchers, contributing across the full stack, from research and prototyping to production deployment and performance tuning.

What You'll Do

1. Build and optimize low-latency trading systems used across global markets
2. Translate research and trading ideas into robust, production-ready code
3. Develop tools for backtesting, monitoring, and performance analysis
4. Own projects end-to-end: architecture, implementation, deployment, and support
5. Contribute to system reliability, CI/CD workflows, and infrastructure automation

Ideal Background

1. Strong experience in C++ and Python (Rust or similar is a plus)
2. Familiarity with low-latency systems, real-time data, or HFT environments
3. Deep understanding of systems programming, networking, and performance tuning
4. Experience working with backtesting frameworks or historical market data
5. Knowledge of market microstructure or financial protocols is a bonus
6. Skilled in software design, debugging, and writing clean, maintainable code
7. Self-driven, curious, and able to thrive in a fast-moving, collaborative team
8. Degree in Computer Science, Engineering, Mathematics, or a related technical field
9. 2+ years of relevant experience in trading, finance, or high-performance environments

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