Senior Network Solution Design Engineer

Key Responsibilities:

• Deliver network solution designs supporting enterprise data centers, private cloud platforms, and public cloud environments
• Build, prototype, and validate network solution designs through hands-on engineering, lab environments, proofs of concept, and automation-driven implementations
• Define and evolve reference architectures, standards, and design patterns for hybrid-cloud and cloud-native networking
• Embed automation and Infrastructure as Code principles into network solution designs
• Anchor modern application platform designs in proven data-center networking fundamentals, including L2/L3 networking, routing, segmentation, EVPN/VXLAN fabrics, and high availability design principles
• Partner with platform, cloud, security, and application teams to translate requirements into scalable network solutions
• Produce clear, decision-oriented design documentation and participate in design and architecture review forums
• Evaluate emerging networking, cloud, and automation tech

Required Skills and Experience

Technical Skills:

• Deep experience in enterprise data-center networking, including routing, switching, resiliency, and segmentation
• Proven ability to design hybrid-cloud and private cloud networking architectures
• Strong knowledge of Kubernetes networking concepts, including CNI architectures and capabilities
• Solid understanding of cloud-native networking concepts, including service networking, ingress/egress models, and load balancing
• Experience designing and supporting cloud connectivity solutions leveraging AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect, Equinix Fabric and Megaport
• Understanding of routing, redundancy, and resiliency patterns for private cloud-to-public cloud connectivity
• In-depth knowledge of BGP, including data-center implementations, traffic engineering, and its role in cloud-native environments (Kubernetes) and cloud connectivity implementations
• Experience designing networks with automation and programmability in mind
• Ability to evaluate trade-offs across scale, security, availability, and operational complexity