Senior Solutions Architect – AI Infrastructure Networking

Mirantis

. Own network solutioning for k0rdent AI, Mirantis's platform for building and operating GPU clouds and AI factories .

Posted 10/12/2026full-timeRemote • NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in network solutioning for AI and GPU cloud environments, with a strong focus on designing and implementing complex network architectures, including InfiniBand and RoCEv2 Ethernet fabrics. Proficient in Kubernetes networking and capable of delivering technical workshops and presentations to diverse audiences.

Highest-signal resume keywords

Network SolutioningInfiniBand ExpertiseKubernetes NetworkingData Center Network DesignCustomer-Facing Experience

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Hard Skills

Network ArchitectureInfiniBand PartitioningKubernetes CNI PluginsLinux NetworkingPython ProgrammingGo ProgrammingData Center NetworkingNCCL/RDMA Traffic BehaviorBGP RoutingVPN Connectivity

Soft Skills

Excellent CommunicationPresentation SkillsAdaptabilityCollaborationCustomer Engagement

Tools & Technologies

KubernetesTerraformAnsibleGitCI/CD

Industry Keywords

HPC NetworkingCloud InfrastructureMulti-Cloud ConnectivitySpine-Leaf TopologyClos Topology

Tech Stack

Tools & technologies

AnsibleCloudDNSKubernetesLinuxPythonTerraformGo

About the role

Key responsibilities & impact

Own network solutioning for k0rdent AI, Mirantis's platform for building and operating GPU clouds and AI factories
Design interconnects for large GPU clusters, tenant isolation, and network access from containers, virtual machines and bare-metal nodes
Create and publish reference architectures and solution designs from single-rack to multi-thousand-GPU clusters
Define InfiniBand and RoCEv2 Ethernet compute fabrics, including rail-optimised and fat-tree/Clos designs
Define front-end, storage and management networks and connectivity to customer data centers, public clouds and hybrid environments
Specify multi-tenant isolation using InfiniBand partitions, VRFs, EVPN-VXLAN and Kubernetes network policy
Document scale limits and trade-offs involving cost, performance, operability and vendor lock-in
Define Linux host networking and exposure of NICs, DPUs and SuperNICs to workloads
Design Kubernetes networking for AI workloads, including CNIs, Multus, SR-IOV, RDMA plugins, NVIDIA Network Operator and DRA
Design KubeVirt networking for GPU and RDMA traffic
Research emerging AI networking technologies and standards, prototype designs, and measure them against current practice
Publish research notes, design proposals, papers, blog posts and talks
Build and run proofs of concept with customers, partners and in Mirantis labs
Write automation and tooling using Python, Go, Bash, Ansible, Helm, Kubernetes manifests and Terraform
Validate and benchmark fabrics and host configurations using tools such as NCCL tests, perftest and ib_write_bw
Act as network subject matter expert in customer discovery, design reviews and architecture workshops
Collaborate with hardware/networking partners, Solutions Architects, Partner Management, Engineering, Product and customers
Present at industry events, webinars and partner summits
Run hands-on technical workshops and write technical enablement content
Feed research results into Product and Engineering and help shape the k0rdent AI roadmap

Requirements

What you’ll need

Bachelor's degree in Computer Science, Electrical Engineering, Telecommunications or a related field, or equivalent practical experience
8+ years in network engineering or network architecture
At least 3 years in data center, HPC or cloud infrastructure networking
Customer-facing experience as a solutions architect, pre-sales engineer, consultant or technical lead
Data center network design expertise: spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription, ECMP, and scaling to thousands of nodes
InfiniBand expertise: subnet management, partitioning, adaptive routing, and NCCL/RDMA traffic behavior
RoCEv2 Ethernet expertise: PFC, ECN, DCQCN, QoS, MTU and buffer tuning
Routing and overlays: BGP, EVPN-VXLAN and VRFs for multi-tenancy
Hybrid and multi-cloud connectivity, interconnects, VPN, cloud networking constructs, IP address and DNS planning
Linux networking, NIC drivers, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
Kubernetes networking: CNI plugins, Multus, SR-IOV and RDMA device plugins, network policy and service exposure
KubeVirt and VM networking, passthrough and SR-IOV
Programming or scripting in at least one language; Python or Go preferred
Comfortable using Git, CI and infrastructure-as-code
Excellent written and spoken English
Comfortable presenting to large audiences and running hands-on workshops
Able to adapt communications for network engineers and customer executives
Experience working in an international, distributed company across time zones and work cultures
Up to 25% travel
Equivalent practical experience may substitute for the bachelor's degree

Benefits

Comp & perks

Compensation and benefits set according to the local market and employment arrangement
Remote work arrangement
Travel opportunities for customer engagements, partner meetings, lab work and industry events (up to 25%)
Collaboration with a world-class, distributed team
Opportunity to work directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
Opportunity to shape the product narrative and influence go-to-market success