Network Engineer - HFT / Trading Infrastructure

Role Responsibilities:

• Participate in network design, build-up, and operations for both trading networks and data center networks.
• Optimize network performance, availability, and routing paths.
• Handle network migrations, relocations, and testing for co-locations and data centers.
• Troubleshoot server network-related issues mainly in Linux environments, such as TCP kernel fine-tuning, traffic monitoring, and so on.
• Continuously improve the quality of existing networks, explore ultra-low latency technologies, and keep up with the latest trends in the industry.

About You

• 5+ years of experience in networking, with a Bachelor's degree or above in computer science, engineering, or related majors.
• Familiar with common Layer 2 and Layer 3 network protocols (VRRP, STP).
• Expert-level knowledge in OSPF, BGP, and Multicast.
• Good understanding of Layer 1 and Layer 1.5 switching technologies, as well as PTP and its implementation.
• Experience in high-availability and low-latency network design within the financial industry.
• Hands-on experience in network automation and NetDevOps, ideally with real-world projects developing network monitoring and operational systems from scratch.
• Familiar with underlay-overlay network architectures in large-scale data centers.
• Proficient in configuring mainstream network equipment vendors platforms.
• Fluent in Mandarin and English.

Bonus Points

• Hands-on experience with LibreNMS, Zabbix, Prometheus, and Grafana.
• Familiarity with traffic monitoring tools such as Pingmesh, Telemetry, and In-band Network Telemetry (INT).
• Background in major internet companies or financial sectors managing large-scale BGP network architectures.
• CCIE or HCIE certification.

What You Will Get

• Exposure to industry-leading practices in ultra-low latency trading network design and implementation.
• Comprehensive understanding of a global-scale BGP network and massive data center infrastructure.
• Opportunities to collaborate and learn from distinguished team members across SRE, DevOps, cybersecurity, and AI disciplines.