Junior systems-focused Software Engineer working directly with traders and quants at a high-frequency trading firm. Optimize low-level trading applications in Modern C++ and Linux internals, build Python tooling for backtesting and monitoring, and diagnose latency issues in real-time trading systems.
80k – 130k/yr
On-siteEntry levelFullstack Engineering
About the role
Core Responsibilities
Work daily within a tight-knit unit of Traders and Quants to translate high-frequency strategies into production-ready code.
Build and tune trading applications using Modern C++, with a heavy focus on OS-level performance (e.g., CPU affinity, memory management, and kernel bypass).
Leverage Python to build high-speed data pipelines, backtesting frameworks, and real-time monitoring tools to analyze strategy behavior.
Act as the "systems expert" for the desk—diagnosing jitter, race conditions, or latency spikes by digging into the Linux stack (schedulers, interrupts, and syscalls).
Maintain a "zero-error" mindset, ensuring the absolute correctness of trading logic in a high-stakes, real-time environment.
Requirements
BS/MS in Computer Science or Computer Engineering with a strong academic focus on Operating Systems.
Professional-level understanding of C++ (pointers, memory layout, and concurrency).
Ability to write clean, efficient Python code for data analysis and automation.
Deep knowledge of Linux/Unix internals, including how the OS manages hardware resources and optimizing that interaction for speed.
A natural drive to deconstruct complex systems; enjoys reading man pages and figuring out the "why" behind system behavior.
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