Systems Engineer - (C++ Developer)

Posted 19 Hours Ago
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Gurugram, Haryana, IND
In-Office
Entry level
Financial Services
The Role
Design, develop, and optimize low-latency trading systems for real-time trade execution and risk management. Responsibilities include performance tuning across operating systems, kernels, networking stacks, CPU architecture, and memory, along with building monitoring tools and reliable deployment processes. The role involves end-to-end ownership of software modules and close collaboration with engineers, quantitative researchers, and traders.
Summary Generated by Built In

About the Company:
Quadeye is an algorithmic trading firm operating across all major financial markets and exchanges. We specialize in transforming deep market insights into sophisticated, automated trading strategies across diverse asset classes. By combining advanced mathematical models with cutting-edge technology, we build scalable, resilient, and high-performance trading systems. Our meritocratic culture empowers engineers and researchers to take complete ownership, drive innovation, and make a direct impact on trading performance. With access to world-class infrastructure, mentorship, and real-time feedback, our team thrives on solving some of the toughest problems in quantitative finance.

Role Overview
We are seeking talented software engineers who are excited to design and develop robust, resilient, and speedy trading systems. These systems will directly power the firm’s proprietary strategies. You will collaborate with exceptional software and quantitative professionals and solve some of the most advanced engineering challenges in low-latency, high-performance computing.

What You'll Work On 
  • Design and implement real-time trade execution and risk management systems with nanosecond-level latency sensitivity

  • Identify performance bottlenecks and optimize code to achieve lower latency and higher throughput

  • Take end-to-end ownership of modules including requirements gathering, design, implementation, testing, and deployment

  • Research and experiment with techniques to reduce latency across OS, kernel, networking stack, kernel bypass, system tuning, CPU architecture, cache-efficient data structures, and scalable algorithms

  • Develop and deploy performance monitoring tools (CPU/network/memory) and algorithms

  • Collaborate closely with engineers, quants, and traders to deliver high-performance and highly reliable systems

What We're Looking For
  • Engineering degree in Computer Science or equivalent from premier institutes

  • Strong problem-solving skills and quantitative aptitude

  • Solid understanding of data structures, algorithms, and object-oriented programming, preferably in C++ or C

  • Ability to multitask and perform in a fast-paced environment

  • Strong work ethic and communication skills

  • Working knowledge of Linux systems

  • Knowledge of Python or Perl is a plus



Requirements


      Skills Required

      • Engineering degree in Computer Science or equivalent from premier institutes
      • Strong problem-solving skills and quantitative aptitude
      • Solid understanding of data structures and algorithms
      • Understanding of object-oriented programming, preferably in C++ or C
      • Ability to multitask and perform in a fast-paced environment
      • Strong work ethic and communication skills
      • Working knowledge of Linux systems
      • Knowledge of Python or Perl
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      The Company
      HQ: Gurgaon
      192 Employees
      Year Founded: 2007

      What We Do

      Quadeye combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. By having deepest possible understanding of the financial markets and translating that understanding into great automated trading strategies, we have built a distinct track record of success. We trade across many asset classes and instruments, using a variety of models, across the globe.

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