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

Luxoft; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Luxoft in New York, NY seeks a C++ engineer to design and build high-performance, low-latency applications handling real-time data. You will optimize from algorithms to OS interaction, shaping latency and throughput across networking and I/O layers.

Responsibilities include building scalable C++ services, profiling, and collaborating with trading and infrastructure teams. Strong knowledge of Linux, profiling tools, and modern C++ is required; compensation ranges from $140,000 to $200,000 gross

Qualifications

• 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.

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 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.

Skills

Modern C++

Market Data

Concurrency

Real-time systems

CS Fundamentals

Linux programming

Profiling tools

Git & CMake

Problem solving

Tools

CMake

Ninja

Git

Perf

Valgrind

Flame Graphs

Job description

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 for NYC 140000-200000 USD Gross per year based on the interview process 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 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.
• Data Analysis with python (pytorch, pandas, arrow)