C++ Engineer (KDB & Low Latency Trading)

SoHo Dragon
London, UK
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£200,000.0 - £220,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Algorithmic Trading Data Analysis Apache HTTP Server Bash Shell Big Data C++ (Programming Language) CMake Profiling Code Review Data Structures Software Debugging
+13 more
Memory Management Python (Programming Language) Remote Direct Memory Access Memory Leaks Scripting Git Pandas Perf (Linux) Low Latency Real Time Data Build Tools C++14 Software Version Control

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, optimising every layer from algorithms and data structures to networking and OS interaction., * Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

  • Optimise 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., 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, optimising every layer from algorithms and data structures to networking and OS interaction. Key Responsibilities

  • Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.
  • Optimise 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.

Requirements

  • Strong proficiency in modern C++ (C++17/20 or later) 5+ years of experience
  • AND must have
  • KDB / Q Experience for large market data
  • Modern data analysis with pytorch, pandas and modern tooling including Apache arrow
  • Familiar with basics statistics as applied to financial research
  • 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.
  • 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.

Preferred Qualifications

  • Experience with kernel bypass or user-space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required.
  • FaC++ Engineer., * Strong proficiency in modern C++ (C++17/20 or later) 5+ years of experience
  • AND must have
  • KDB / Q Experience for large market data
  • Modern data analysis with pytorch, pandas and modern tooling including Apache arrow
  • Familiar with basics statistics as applied to financial research
  • 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.
  • 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.

Preferred Qualifications

  • Experience with kernel bypass or user-space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required.
  • Familiar with AI productivity-enhancing coding tools
  • Experience in financial markets, market data distribution, order routing, or exchange connectivity.
  • 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.

Personal Attributes

  • Obsessed with performance, measurement, and data-driven optimisation.
  • Comfortable owning features end-to-end and operating in a production environment.
  • Clear communicator who can work closely with both technical and non-technical stakeholders.
  • Proactive, self-directed, and able to thrive in a highly iterative environment.

miliar with AI productivity-enhancing coding tools

  • Experience in financial markets, market data distribution, order routing, or exchange connectivity.
  • 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.

Personal Attributes

  • Obsessed with performance, measurement, and data-driven optimisation.
  • Comfortable owning features end-to-end and operating in a production environment.
  • Clear communicator who can work closely with both technical and non-technical stakeholders.
  • Proactive, self-directed, and able to thrive in a highly iterative environment.

Benefits & conditions

Pay: £200,000.00-£220,000.00 per year

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