About Quadeye
Quadeye is an algorithmic trading firm operating across major financial markets and exchanges. We combine deep market insights, advanced mathematical models, and cutting-edge technology to build sophisticated, automated trading strategies across asset classes.
Our meritocratic culture gives engineers and researchers the opportunity to take ownership, solve complex problems, and directly contribute to trading performance. With world-class infrastructure, strong mentorship, and real-time feedback, our teams work at the intersection of technology, mathematics, and quantitative finance.
About the Role
We are looking for a Network Engineer to design, optimize, and maintain high-performance, low-latency networks across our data centers, colocation facilities, and office environments.
You will work closely with Systems, Infrastructure, and Trading teams to ensure network reliability, security, and performance in a demanding production environment. The role offers an prospect to work on sophisticated networking infrastructure where performance, resilience,



and automation are critical.
What You'll Do
Monitor, troubleshoot, and optimize network performance, availability, and reliability.
Configure and manage routers, switches, firewalls, load balancers, VPNs, and QoS solutions.
Provide hands-on network support for production environments, including colocation, trading, office, and data center infrastructure.
Develop and implement network automation to deploy and update configurations across multiple infrastructure devices.
Administer and support firewall environments, including security policies and configurations.
Plan and execute network equipment upgrades and firmware updates.
Provide hands-on technical support for Linux systems and networking in live production and trading environments.
Troubleshoot networking issues across Linux-based servers and infrastructure.
Work with multicast networking, including PIM, IGMP, and related protocols.
Support Linux ser

📌 Network Engineer (Gurugram)
🏢 Quadeye
📍 Gurugram