Graduate Trading Technology & Research Engineer

About this role

Skills you'll use

What you'll do

• Develop low-latency trading infrastructure in modern C++ on Linux
• Build and maintain exchange connectivity and market data handlers
• Improve simulation and backtesting platforms used by researchers
• Implement pre-trade risk checks and operational safety controls
• Profile and optimise latency-critical execution paths
• Build monitoring, alerting and observability for live trading systems
• Collaborate with quantitative researchers and traders on strategy deployment

Who can apply

• BE/BTech/MTech/Dual Degree in CS, ECE, EE, Mathematics or Physics
• 2026 or 2027 graduating batch, or up to one year of experience
• Strong modern C++ programming ability
• Excellent algorithms, data structures and complexity analysis
• Solid operating systems and computer networks fundamentals
• Comfort with Linux and command-line development environments
• Strong quantitative aptitude and mental mathematics
• Working knowledge of Python for tooling and analysis
• Interest in algorithmic trading and financial markets
• Available to work full-time on-site in Gurugram

Perks & benefits

Interview & selection process

4 rounds — typical selection flow for this role:

1. 1Online test — algorithms, data structures, aptitude and speed mathematics
2. 2Technical interview 1 — C++ and problem solving
3. 3Technical interview 2 — operating systems, networks and low-level reasoning
4. 4Final discussion with senior engineers and traders

About Quadeye

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