Senior C++ Developer (Low Latency & Market Data)

Salary: $140,000 - 200,000 per year Requirements: Strong proficiency in modern C++ (C++17/20 or later) Hands-on experience with market data Solid understanding of concurrency and synchronization, including lock-free or low-lock patterns, atomics, and memory models Proven experience building performance-critical, real-time, or low-latency systems, such as networking, trading systems, telemetry, or gaming engines Strong knowledge of computer science fundamentals, including data structures, algorithms, memory management, and optimization Practical experience with Linux systems programming, including sockets, epoll/select, threads, memory management, and CPU affinity Experience with profiling, benchmarking, and performance analysis tools such as perf, Valgrind, flame graphs, and CPU or memory profilers Proficiency with Git and standard build systems such as CMake and Ninja Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment Helpful but not required: experience with kernel bypass or user-space networking technologies such as DPDK, RDMA, VMA, or Solarflare/OpenOnload Experience in financial markets, market data distribution, order routing, or exchange connectivity is a plus Familiarity with market data protocols such as FIX, MDP, ITCH, or proprietary exchange feeds is a plus Experience with multicast, low-latency networking, and clock synchronization such as PTP Exposure to hardware-aware optimization, including NUMA, cache optimization, vectorization/SIMD, or CPU pinning Experience with monitoring and telemetry for high-performance systems, including latency histograms, throughput metrics, and SLAs Familiarity with Python or Bash for tooling and automation KDB+ experience Experience with data analysis using Python tools such as PyTorch, pandas, or Arrow Responsibilities: Design, implement, and maintain high-performance C++ services for high-message-rate, low-latency workloads Improve existing components for latency, throughput, and CPU and memory efficiency Develop and tune networking, messaging, and I/O layers to reliably handle large data volumes Profile and troubleshoot performance issues across application, operating system, and network layers Work with quantitative, trading, and infrastructure teams, or comparable business and technology teams, to turn requirements into robust technical solutions Write clean, production-quality code with appropriate tests and documentation Take part in code reviews, design discussions, and ongoing improvements to engineering practices Technologies: Bash Git Hardware Linux Network PyTorch Python RDMA pandas C++ More: We are seeking a C++ engineer to build high-performance, low-latency applications that process large volumes of real-time data. The role focuses on optimizing systems across algorithms, data structures, networking, and operating-system interactions, where throughput and microsecond-level performance matter. Compensation for the New York City position is $140,000–$200,000 gross per year, based on interview results. last updated 41 week of 2026