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Senior Cloud Network Operations Engineer

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Description

Salary: RM 6,000 – RM 9,000 per month

About the role

Monitor the full network estate 24x7 — switches, routers, optical transport — tracking device health, link bandwidth, and traffic load in real time. Work alongside architecture and delivery teams to hunt down the hard stuff: microsecond-level jitter affecting GPU-to-GPU communication, NCCL throughput degradation, and other performance issues unique to high-performance AI networks. Act as the technical interface for internal R&D teams and key customers, handling network change requests in real time: traffic isolation, VLAN adjustments, routing policy changes, temporary bandwidth upgrades, and more.

Key responsibilities

  • Monitor the full network estate 24x7 — switches, routers, optical transport — tracking device health, link bandwidth, and traffic load in real time

  • Keep a close eye on AI-specific network signals: the indicators that hint at a problem before it becomes one

  • Own incident response for network outages, link failures, and device-down events — moving fast, closing the loop, and hitting SLA targets every time

  • Work alongside architecture and delivery teams to hunt down the hard stuff: microsecond-level jitter affecting GPU-to-GPU communication, NCCL throughput degradation, and other performance issues unique to high-performance AI networks

  • Manage the full ticket lifecycle for routine network requests — fault reports, access requests, resource allocation — from creation through escalation to resolution

  • Produce regular network health reports and post-incident reviews; build out the team's knowledge base so every hard-won lesson is captured

  • Act as the technical interface for internal R&D teams and key customers, handling network change requests in real time: traffic isolation, VLAN adjustments, routing policy changes, temporary bandwidth upgrades, and more

  • Execute changes under a rigorous change management process — writing the change plan, running the implementation, and keeping the blast radius on AI training jobs as close to zero as possible

About you

  • 5+ years of network operations experience in large-scale internet, cloud, carrier NOC, or datacenter environments

  • Degree in CS, Telecoms, Electronics, or similar

  • Strong hands-on knowledge of BGP, OSPF, VXLAN, EVPN, and ECMP — both configuration and the underlying forwarding mechanics

  • Comfortable at the CLI of enterprise-grade switches and routers from vendors like NVIDIA Spectrum/Quantum, Arista, or Cisco; able to troubleshoot independently

  • Working knowledge of InfiniBand or RoCEv2, and a solid grasp of lossless network congestion control — PFC, ECN, and why they matter for AI traffic

  • Familiar with network monitoring tools: Zabbix, Prometheus, Grafana, Cacti, MTR, or equivalent

  • Fluent in Chinese and English


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