Job Description
C++ Storage Systems Engineer | Quantitative Trading | New York / Chicago
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We are working with a leading quantitative trading firm looking for a C++ engineer to work on high-performance storage and data infrastructure.
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The team builds systems responsible for moving, storing and accessing large volumes of data with extremely demanding requirements around latency, throughput and reliability. This is a strong fit for engineers coming from high-performance storage, database or distributed systems teams in Big Tech or similarly technical environments.
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What you’ll work on:
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- Design and build high-performance storage systems in modern C++
- Optimize I/O, memory usage, concurrency and data access paths
- Work on distributed storage and large-scale data infrastructure
- Profile systems and identify performance bottlenecks across the stack
- Solve problems involving caching, filesystems, networking and CPU/memory performance
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What we’re looking for:
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- Strong professional C++ experience
- Excellent systems fundamentals across Linux, concurrency, memory and networking
- Experience with storage engines, databases, filesystems or distributed storage
- Strong understanding of performance optimization and profiling
- Background from a high-calibre engineering environment
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Experience in finance is not required. Engineers from companies such as Google, Meta, Apple, Amazon, Microsoft, NVIDIA and other systems-focused organizations are particularly relevant.