Network Engineering with AI (HyperNet/Azure)
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: Trust IT LLC Apply tot his job Apply To this Job