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Motion Recruitment Partners LLC is partnering with a fintech company to design and build high-throughput backend services in Rust for real-time market data processing. You will tackle memory, concurrency, and network I/O bottlenecks to ensure ultra-low latency in a scalable data infrastructure.
The role emphasizes performance optimization, profiling, and collaboration on architecture choices within a small engineering team, with a fully remote environment and strong compensation potential.
We're partnered with a financial technology company that specializes in delivering high-performance market data solutions to institutional clients across the trading and financial services space. Their platform processes massive volumes of real-time options and equities data and is trusted by firms that rely on speed, reliability, and accuracy.
This team is focused on solving hard engineering problems at scale. They're looking for someone who enjoys digging into performance bottlenecks, optimizing systems, and building infrastructure that handles huge amounts of real-time data with minimal latency. If you're the type of engineer who gets excited about concurrency, memory management, network I/O, and squeezing every ounce of performance out of a system, this is the kind of role where you'll thrive.