C++ Storage Systems Engineer | Quantitative Trading | New York / Chicago
We are working with a leading quantitative trading firm looking for a C++ engineer to work on high-performance storage and data infrastructure.
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.
What you’ll work on:
- 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
What we’re looking for:
- 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
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.
C++ Storage Systems Engineer in New York City Metropolitan Area at Acquire Me
This position is listed as full time and onsite. It was posted yesterday.