HuntingCube Recruitment Solutions | Infrastructure and C++ Developer – High-Frequency Trading

1 week ago


gurugram, India HuntingCube Recruitment Solutions Full time

We are assisting a leading High-Frequency Trading (HFT) firm in identifying a talented Infrastructure and C++ Developer to join their team. This role involves designing, developing, and optimizing low-latency trading systems and infrastructure. The ideal candidate will have a passion for performance engineering, a strong foundation in C++, and an eagerness to contribute to cutting-edge trading technology.

Key Responsibilities:

  • System Design & Development: Build and maintain high-performance, low-latency trading systems using C++.
  • Infrastructure Enhancement: Develop tools and frameworks to improve deployment, monitoring, and overall system reliability.
  • Optimization: Identify and address bottlenecks in system performance, focusing on reducing latencies and improving throughput.
  • Cross-Team Collaboration: Partner with traders, quants, and other engineers to ensure the systems meet trading and business needs.
  • Real-Time Systems Maintenance: Manage high-availability systems for real-time data processing and trading operations.
  • Code Quality: Write clean, maintainable, and well-documented code, and participate in code reviews.

Required Skills and Qualifications:

  • Technical Expertise:
  • Proficiency in C++ (C++17 or later preferred) with a deep understanding of system-level programming, multi-threading, and concurrency.
  • Experience building low-latency, high-performance systems.
  • Infrastructure Knowledge:
  • Strong knowledge of Linux/Unix systems and system-level programming.
  • Familiarity with scripting languages like Python or Shell for automation.
  • Understanding of networking protocols (TCP/UDP) and socket programming.
  • Optimization Skills:
  • Solid knowledge of CPU architecture, memory management, and compiler optimization techniques.
  • Hands-on experience with performance profiling and debugging tools.
  • Domain Experience:
  • Prior exposure to HFT, algorithmic trading, or financial systems is highly desirable.
  • Knowledge of distributed systems or message queues is a plus.

Educational Background:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.

Preferred Attributes:

  • Ability to thrive in a fast-paced, high-pressure environment.
  • Strong analytical and problem-solving skills with keen attention to detail.
  • Excellent communication and teamwork abilities.



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