Apply for Quadeye Off Campus Drive 2025! Hiring Systems Engineer Job in Gurgaon for 2+ years. Build low-latency C++ trading systems. Competitive salary for BE/BTech graduates skilled in algorithms, Linux.
Candidates who are interested in Quadeye Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Systems Engineer job
Company: Quadeye
Qualifications: BE/BTech
Experience Needed: 2+ years
Location: Gurgaon
Job Description
We are looking for high performing individuals who are eager to learn, invent and make some serious money in the process.
Start Date: 10th November 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
We are looking for high performing individuals to work as Systems Engineers who will be responsible to design the trading systems that are robust, resilient and fast. These systems are used by the firm to execute trading strategies.
Responsibilities:
- Design and implement real-time trade execution and risk management systems with latency sensitivity that runs into nanoseconds
- Identify bottlenecks in critical path and make the code leaner and faster
- Researching for newer opportunity to cut latencies in areas such as OS, kernel, networking stack, kernel bypass, low latency system tuning, CPU architecture, robust and scalable algorithms, cache efficient data structures Desired Skills
- Good problem-solving skills and coding skills
- Strong background in data structures, algorithms and object-oriented programming, preferably in C++ or C
- Ability to multitask and thrive in a fast-paced environment
- Strong work ethics and communication skills
- Working knowledge of Linux
- Knowledge of Python or Perl is a plus.
Apply Now for Quadeye Systems Engineer Job
How to Apply Quadeye Off Campus Drive 2025
Click on Apply to Official Link Quadeye Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Can you describe a project where you optimized code for low-latency performance?
- How do you apply data structures and algorithms in real-time trading systems?
- What is your experience with C++ or C for robust, scalable development?
- Can you share an example of identifying bottlenecks in a critical path?
- How do you ensure code efficiency in a multi-tasking environment?
- What familiarity do you have with Linux or kernel tuning for speed?
- How do you collaborate in a fast-paced team to solve complex problems?
- Can you explain your approach to object-oriented programming in C++?
- What strategies do you use to stay updated with low-latency tech trends?
- How would you contribute to Quadeye’s mission of high-performance trading?
