Note: The job is a remote job and is open to candidates in USA. GMI Cloud is an AI-native infrastructure company delivering GPU compute, inference services, and infrastructure for AI agents. The Network Operations Engineer will design, build, operate, monitor, troubleshoot, and optimize high-performance network systems supporting global data centers and AI/ML workloads.
Responsibilities
- Plan, design, and implement network infrastructure for GMI global data center, including WAN, DC Core Network , Data Center Network, Firewalls, Load Balancers, DNS, VPN, etc
- Build high-performance network solutions to support AI/ML workloads, encompassing Compute, Storage, Inband, Management, and Out-of-Band (OOB) network fabric using Infiniband and Ethernet RDMA RoCEv2 technologies
- Operate, monitor and troubleshoot GPU/HPC network systems (Infiniband, RoCe, Ethernet) to ensure optimal performance on a daily basis
- Manage and configure optical transceivers and related components
- Collaborate with cross-functional teams and stakeholders to understand business requirements related to networking
- Identify suitable network providers, vendors, and solutions to meet organizational needs
- Ensure high performance, scalability, and 99.9%+ availability of network services
- Implement network security measures and perform system upgrades
- Document network configurations, issues, and resolution procedures
- Conduct root cause analysis and resolve network outages efficiently
- Keep abreast of advancements in optical communications, GPU networking, and data center technologies
- Regional/international travel to GMI data center locations
Skills
- Bachelor's degree in Computer Science or related field
- Over 5 years of experience as senior network engineer or related position
- Extensive experience in network deployment and operational support
- Strong knowledge in network administration and architecture
- Strong knowledge in network security, DDOS, IDS, etc
- Familiar with various routers, switches, firewalls, load balancer, DNS, VPN configuration implementation
- Familiar with network monitoring tools and protocols
- Familiar with optical networking, including fibers, transceivers and optics
- Experience with high-performance data center networks, HPC or AI environments
- Excellent problem-solving, troubleshooting and communication skills
- Candidates holding network certifications (e.g. CCNA, CCNP) will be strongly preferred
- Candidates with proven experience in the AI/ML GPU networking environment will be highly considered
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