Senior Solutions Architect – AI Infrastructure Networking

🕒 October 12

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 23%

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• Open for 31 days.
• Jobs at this company usually fill in 38 days.
• No salary listed.

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• 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

• 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

• 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

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