Senior Solutions Architect – AI Infrastructure Networking

Mirantis

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

Posted 10/9/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in network solutioning for GPU clouds and AI factories, with a strong focus on designing and implementing complex data center networking architectures. Proficient in Kubernetes networking, InfiniBand, and cloud infrastructure, with a proven ability to collaborate with cross-functional teams and present technical concepts effectively.

Highest-signal resume keywords

Network SolutioningData Center Network DesignKubernetes NetworkingInfiniBand ExpertiseCustomer-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Network ArchitectureInfiniBand Subnet ManagementLinux NetworkingKubernetes NetworkingProgramming in PythonProgramming in GoData Center NetworkingNCCL/RDMA TrafficOversubscription DesignMulti-Cloud Connectivity

Soft Skills

Excellent CommunicationPresentation SkillsCollaborationCustomer EngagementWorkshop Facilitation

Tools & Technologies

GitCIInfrastructure-as-CodeAnsibleTerraformKubernetesNVIDIA Network OperatorDRABashHelm

Industry Keywords

GPU CloudsAI FactoriesHPC NetworkingSpine-Leaf TopologyClos TopologyRail-Optimised FabricsVPNsHybrid CloudSDNOpen-Source Contributions

Tech Stack

Tools & technologies

AnsibleCloudDNSKubernetesLinuxPythonTerraformGo

About the role

Key responsibilities & impact

Own network solutioning for k0rdent AI, Mirantis' platform for building and operating GPU clouds and AI factories
Design interconnects for large GPU clusters, tenant isolation and workload network access from containers, virtual machines and bare-metal nodes
Design and publish network 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, oversubscription and failure domains
Define front-end, storage and management networks and their connectivity to customer data centers, public clouds and hybrid environments
Specify multi-tenant isolation using InfiniBand PKeys, 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 for NICs, DPUs and SuperNICs, including PCI passthrough, SR-IOV, IOMMU, NUMA and GPU-NIC affinity
Design Kubernetes networking for AI workloads using CNIs, Multus, SR-IOV, RDMA plugins, NVIDIA Network Operator and DRA
Design KubeVirt networking for GPU and RDMA traffic
Research and evaluate emerging AI networking technologies and standards
Prototype and benchmark alternative designs in the lab and compare them with current practice
Publish research notes, design proposals, papers, blog posts and talks
Build and run proofs of concept with customers, partners and on lab/customer hardware
Write automation and tooling using Python, Go, Bash, Ansible, Helm, Kubernetes manifests and Terraform
Validate and benchmark fabrics and host configurations using 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 and cross-functional Solutions Architecture, Partner Management, Product and Engineering teams
Present at industry events, webinars and partner summits
Run hands-on technical workshops and write reference architectures, solution briefs, blog posts and enablement content

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
Expertise in data center network design, including spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription and ECMP
Expertise in InfiniBand subnet management, partitioning, adaptive routing and NCCL/RDMA traffic
Expertise in RoCEv2, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning
Knowledge of BGP, EVPN-VXLAN, VRFs, hybrid and multi-cloud connectivity, VPNs, IP address and DNS planning
Knowledge of Linux networking, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
Knowledge of Kubernetes networking, CNI plugins, Multus, SR-IOV, RDMA device plugins, network policy and service exposure
Knowledge of 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
Experience working in an international, distributed company across time zones and work cultures
Willingness to work some meetings outside standard local hours
Up to 25% travel
Nice-to-have experience includes NVIDIA networking, GPU cloud/neocloud/HPC deployments, bare-metal provisioning, network automation, SDN, GSLB, NVMe-oF, Mirantis products, open-source contributions, standards participation and additional languages

Benefits

Comp & perks

Travel of up to 25% for customer engagements, partner meetings, lab work and industry events
Compensation and benefits set according to the local market and employment arrangement
Work with a distributed team committed to openness and technical excellence
Opportunity to shape the product narrative and influence go-to-market success