We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction.
Compensation in NYC is 120,000–140,000 USD gross per year, based on the interview results.
Responsibilities:
Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.
Optimize existing components for latency, throughput, and CPU/memory efficiency.
Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.
Profile and debug performance issues at the application, OS, and network levels.
Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions.
Write clean, production-quality code with appropriate tests and documentation.
Participate in code reviews, design discussions, and continuous improvement of engineering practices.
Mandatory Skills Description:
Strong proficiency in modern C++ (C++17/20 or later)
Hands-on experience with Market Data
Solid understanding of concurrency and synchronization (lock-free/low-lock patterns, atomics, memory models, etc.).
Proven experience building performance-critical, real-time, or low-latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar).
Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization.
Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.).
Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers).
Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.).
Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment.
Nice-to-Have Skills Description:
Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload)—helpful but not required.
Experience in financial markets, market data distribution, order routing, or exchange connectivity.
Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus.
Experience with multicast, low-latency networking, and clock synchronization (e.g., PTP).
Exposure to hardware-aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning).
Experience with monitoring/telemetry for high-performance systems (latency histograms, throughput metrics, SLAs).
Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation.
KDB+
Data Analysis with Python (PyTorch, pandas, arrow)
