Senior Network Engineer

Responsibilities

• Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.
• Analyze data to diagnose and identify root causes to network issues to minimize downtime.
• Evaluate and recommend network technologies, hardware, and software solutions.
• Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability.
• Manage relationships with external vendors and partners to test and verify hardware and software selections.
• Develop and deploy systems and tools to keep all networks running reliably and efficiently.
• Establish and implement industry best practices and contribute to the design of new scalable network solutions.
• Ensure compliance with IT governance standards and best practices.
• Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions.

Requirements

• 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).
• High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
• Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation.
• Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.
• Experience designing and supporting multi-tenant networks.
• Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
• Experience working with cloud networks such as AWS, GCP, and Azure.
• Solid experience working in and troubleshooting within a Linux environment.

Preferred

• Knowledge of RoCE and Infiniband protocols a plus.
• Experience with Docker, Kubernetes, or Slurm a plus.
• Understanding of AI training workloads and the demands they exert on networks a plus.

Compensation

The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits.