TL;DR

Principal Network Engineer (AI): Owning the front-end network architecture for large-scale AI and GPU-accelerated infrastructure with an accent on designing scalable Ethernet architectures and defining routing, segmentation, and isolation strategies. Focus on hands-on deployment, validation, and troubleshooting in new and production data centers while working with Kubernetes platform team.

Location: Remote

Company

%hirify_global% Cloud builds seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.

What you will do

Own front-end network architecture including DCI, edge, ingress/egress, and control-plane networks.
Design scalable Ethernet architectures.
Architect and operate large edge and service networks.
Define routing, segmentation, and isolation strategies.
Partner closely with the Back End Network Principal to define clean interface boundaries between front-end and RDMA back-end fabrics.
Lead hands-on deployment, validation, and troubleshooting in new and production data centers.

Requirements

10+ years data center networking experience.
Proven experience with very large Ethernet fabrics and large-scale edge networks.
Strong hands-on experience and expertice with BGP, traffic engineering, and high-availability designs.
Experience with 100G–400G+ Ethernet environments.
Multi-Vendor Experience (Juniper, Cisco, Arista, Whitebox).
NOS Experience (Junos, IOS/IOS-XE, NX-OS, EOS, SONiC).

Nice to have

AI platform or GPU cluster environments.
Multi-tenant or customer-facing platforms.
Strong familiarity with Kubernetes networking concepts.
Exposure to network automation and programmability.

Culture & Benefits

Mission driven company.
Competitive Salary & Stock Options.
100% paid Medical, Dental, and Vision insurance.
Flexible PTO & Paid Holidays.
Mental Health Benefits through Spring Health.