Network Engineer - HFT / Trading Infrastructure

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 Net Dev Ops, 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. 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, Dev Ops, cybersecurity, and AI disciplines.