Senior Network Solution Design Engineer

Key Responsibilities:

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• Deliver network solution designs supporting enterprise data centers, private cloud platforms, and public cloud environments
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• Build, prototype, and validate network solution designs through hands-on engineering, lab environments, proofs of concept, and automation-driven implementations
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• Define and evolve reference architectures, standards, and design patterns for hybrid-cloud and cloud-native networking
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• Embed automation and Infrastructure as Code principles into network solution designs
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• 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
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• Partner with platform, cloud, security, and application teams to translate requirements into scalable network solutions
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• Produce clear, decision-oriented design documentation and participate in design and architecture review forums
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• Evaluate emerging networking, cloud, and automation tech
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Required Skills and Experience

Technical Skills:

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