Network Engineering with AI (HyperNet/Azure)

Remote Full-time
Network Engineer with AI initiative based in Redmond, WA (with 100% Remote flexibility). We are looking for a specialist to drive the migration of high-performance HyperNet infrastructure to HyperScaler (Azure) environments.

This role is at the intersection of traditional networking, massive-scale cloud architecture, and AI-driven automation.

The Role at a Glance:

Location: Redmond, WA (Open to 100% Remote in the US).
Core Tech: Azure, Microsoft Stack, HyperNet, HyperScaler.
Primary Focus: Migrating complex networking infrastructure while optimizing for AI-scale performance.

Remote

Responsibilities:

Migration Leadership: Lead the hands-on migration from HyperNet infrastructure to broader HyperScaler environments, ensuring zero downtime and optimized throughput.
Azure Network Architecture: Design and implement robust networking solutions using Azure Load Balancers, NAT, Private Endpoints, and DNS.
Security & Perimeter: Configure and maintain Azure Firewalls and security protocols to safeguard sensitive data during and after migration.
AI Integration: Leverage AI-driven networking concepts to optimize traffic flow, monitor network health, and automate troubleshooting.
Connectivity Excellence: Manage complex IP addressing, routing tables, and security groups across the Microsoft stack.

Qualifications:

Proven experience in Network Engineering within a HyperScaler environment (Azure preferred).
Hands-on experience with HyperNet or similar high-performance internal network fabrics.
Demonstrated experience in Infra-to-Infra migrations.
Deep proficiency in Load Balancers, NAT, Private Endpoints, DNS, and Firewalls.
Strong understanding of the Microsoft/Azure ecosystem.

Skills:
Network Architecture/Engineering, Artificial Intelligence (AI), Network Routing, Network Switching, Wide Area Network (WAN), Routing Protocols, HyperNet, Open Shortest Path First Protocol (OSPF), Load Balancing, Microsoft Windows Azure

About the Company:
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