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Senior Solutions Architect – AI Infrastructure Networking (remote in India)

Mirantis
Contract type
Ongoing
Work mode
Remote · Europe
Experience
Senior · 8+ years

Job description

Senior Solutions Architect with deep networking expertise to join the Voyager team in Mirantis' Office of the CTO, owning network solutioning for k0rdent AI, a platform for building and operating GPU clouds and AI factories. The role combines research with hands-on, outward-facing work designing, validating and publishing network reference architectures.

At a glance

Work mode
Remote · Europe
Languages
English – fluent

What you'll do

  • Design and publish network reference architectures and solution designs for k0rdent AI, covering data center topologies from a single rack to multi-thousand-GPU clusters
  • Define compute (east-west) fabrics on InfiniBand and on RoCEv2 Ethernet, including rail-optimised and fat-tree / Clos designs, oversubscription and failure-domain choices
  • Define front-end, storage and management networks, and how they connect to customer data centers, public clouds and hybrid environments
  • Specify multi-tenant isolation across the stack: InfiniBand partitions (PKeys), VRFs and EVPN-VXLAN on Ethernet, and Kubernetes-level network policy
  • Document scale limits and trade-offs (cost, performance, operability, vendor lock-in) with defensible reasoning a customer can follow
  • Define how Linux hosts expose NICs, DPUs and SuperNICs to workloads: PCI passthrough, SR-IOV virtual functions, IOMMU groups, NUMA and GPU-NIC affinity
  • Design Kubernetes networking for AI workloads: primary and secondary CNIs, Multus, SR-IOV and RDMA device plugins, NVIDIA Network Operator, and Dynamic Resource Allocation (DRA)
  • Design networking for virtual machines on KubeVirt, including passthrough and SR-IOV for GPU and RDMA traffic
  • Track and evaluate emerging technologies and standards in AI networking, such as Ultra Ethernet (UEC), SuperNIC and DPU offloads, scale-up and scale-across fabrics, and Kubernetes DRA network drivers
  • Prototype alternative designs in the lab, including ones customers have not yet asked for, and measure them against current practice
  • Challenge established or customer-preferred designs when evidence points to a better option, and make the case with data
  • Publish findings as internal research notes and design proposals and, where appropriate, as external papers, blog posts or talks
  • Build and run proofs of concept with customers and partners, on Mirantis lab hardware and on customer sites, and report results against agreed success criteria
  • Write automation and tooling (Python, Go, Bash, Ansible, Helm, Kubernetes manifests, Terraform) that makes the reference architectures reproducible
  • Run validation and benchmarking of fabrics and host configurations (e.g. NCCL tests, perftest, ib_write_bw) and turn findings into design guidance
  • Act as the network subject matter expert in customer discovery, design reviews and architecture workshops
  • Work with hardware and networking partners (e.g. NVIDIA, server OEMs, switch and network vendors) on joint designs and validations
  • Innovate and feed research results back to Product and Engineering, and help shape the k0rdent AI roadmap
  • Present at industry events, webinars and partner summits, and run hands-on workshops for technical audiences
  • Write technical content: reference architecture documents, solution briefs, blog posts and internal enablement

What we're looking for

  • 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, with 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: spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription, ECMP, and the operational challenges of scaling to thousands of nodes
  • InfiniBand: subnet management, partitioning, adaptive routing, and how NCCL / RDMA traffic behaves on the fabric
  • RoCEv2 on Ethernet: lossless and congestion-controlled designs (PFC, ECN, DCQCN), QoS, MTU and buffer tuning
  • Routing and overlays: BGP, EVPN-VXLAN, VRFs and their use for multi-tenancy
  • Hybrid and multi-cloud connectivity: interconnects, VPN, cloud provider networking constructs, and IP address and DNS planning across sites
  • Linux networking: how the kernel and drivers manage NICs, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, and tools such as iproute2, ethtool and devlink
  • Kubernetes networking: CNI plugins (e.g. Cilium, Calico, OVN-Kubernetes), Multus and secondary networks, SR-IOV and RDMA device plugins, network policy and service exposure
  • Virtualisation on Kubernetes: KubeVirt, and how VM networking, passthrough and SR-IOV are configured there
  • Programming or scripting in at least one language (Python or Go preferred), and comfortable using Git, CI and infrastructure-as-code
  • Curious: digs into why a fabric behaves the way it does, reads the specs and the source, keeps up with how AI networking is changing, and questions established designs when there is a better way
  • Ownership: takes a reference architecture or a POC from the first sketch to a published, validated result
  • Proactive: spots gaps in the product, the documentation or a customer design before being asked, and acts on them
  • Fast learner: gets productive quickly in unfamiliar hardware, software or customer environments
  • Business acumen: connects network design choices to cost, time-to-value and risk, and explains them in those terms to decision makers
  • Excellent written and spoken English; writes documents others can build from
  • Comfortable presenting to large audiences at conferences and events, and running hands-on workshops
  • Able to adapt the message to the audience, from network engineers to customer executives
  • Experience working in an international, distributed company, across time zones and different work cultures, with Solutions Architects, Partner Management and Engineering teams

Nice to have

  • Hands-on experience with NVIDIA networking: Quantum InfiniBand, Spectrum-X Ethernet, ConnectX SuperNICs, BlueField DPUs, UFM, and NVIDIA reference designs for AI factories
  • Experience with GPU cloud, neocloud or HPC operators, or with NVIDIA Cloud Partner (NCP) style deployments
  • Bare-metal provisioning and lifecycle: Metal3, Ironic, Redfish, PXE / iPXE, and Cluster API
  • Network automation and SDN controllers, and switch operating systems such as Cumulus Linux, SONiC or vendor equivalents
  • Global load balancing and service exposure for distributed inference (GSLB, Gateway API, ingress)
  • Familiarity with Software-Defined Storage networking for AI (NVMe-oF, GPUDirect Storage)
  • Experience with Mirantis products, MKE, k0s, k0rdent networking
  • Contributions to open-source networking or Kubernetes projects, or a track record of public talks and technical writing
  • Participation in standards or industry bodies (e.g. Ultra Ethernet Consortium, OCP, IETF), or published research, patents or white papers
  • Additional languages beyond English, for example a European language

Your team

Voyager team, Office of the CTO

Part of the Office of the CTO, where research is a core part of the job; works with Solutions Architects, Partner Management and Engineering colleagues across many countries and time zones.

Benefits

Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises

  • Collaborate with a world-class, distributed team committed to openness and technical excellence
  • Shape the product narrative and influence go-to-market success

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About Mirantis

We are a Leader for Container Management in G2 (#2 after AWS)!

Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers.

Mission

Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Key facts

  • Kubernetes-native AI infrastructure
  • Leader for Container Management in G2 (#2 after AWS)
  • An IREN company
  • Kubernetes-native AI infrastructure company

Partners & customers

NVIDIAserver OEMsswitch and network vendors

What they value

  • Openness
  • Technical excellence
  • Open standards
  • Freedom from lock-in