Note: The job is a remote job and is open to candidates in USA. GMI Cloud is seeking a skilled Network Operations Engineer to join its Global Infrastructure team. The role designs, builds, maintains, monitors, and optimizes GPU-focused network infrastructure, optical communication systems, and data center networks supporting AI/ML workloads, while ensuring performance, security, scalability, and reliability.
Responsibilities
- Plan, design, and implement network infrastructure for GMI global data center, including WAN, 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
- Monitor and troubleshoot GPU-based network systems to ensure optimal performance
- 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
- 1. Bachelor's degree in Compute Science or related field
- 2. Over 5 years of experience as senior network engineer or related position
- 3. Extensive experience in network deployment and operational support
- 4. Strong knowledge in network administration and architecture
- 5. Strong knowledge in network security, DDOS, IDS, etc
- 6. Familiar with various routers, switches, firewalls, load balancer, DNS, VPN configuration implementation
- 7. Familiar with network monitoring tools and protocols
- 8. Familiar with optical networking, including fibers, transceivers and optics
- 9. Experience with high-performance data center networks, HPC or AI environments
- 10. Excellent problem-solving, troubleshooting and communication skills
- 12. Candidates with proven experience in the AI/ML GPU networking environment will be highly considered
- 11. Candidates holding network certifications (e.g. CCNA, CCNP) will be strongly preferred
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