
501 - 1000 employees
đź Consulting
đĽ Healthcare
đŚ 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.
đ Yesterday
đ¤ Texas â Remote
â° Full Time
đĄ Mid-level
đ Senior
âď¸ Technical Product Manager (TPM)
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501 - 1000 employees
đź Consulting
đĽ Healthcare
đŚ 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.
⢠Own the vision, roadmap, and priorities for k0rdent AI Kubernetes services ⢠Define how providers deliver, differentiate, and operate managed Kubernetes for their customers ⢠Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into product direction ⢠Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable cluster lifecycle capabilities ⢠Manage the Kubernetes backlog using feedback from production deployments and design partners ⢠Define positioning, packaging, and competitive differentiation for k0rdent AI Kubernetes services ⢠Create technical briefs, battlecards, and reference architectures ⢠Support strategic accounts as the Kubernetes product lead ⢠Represent Mirantis at events, analyst briefings, and customer advisory boards ⢠Engage silicon, networking, and ecosystem partners on reference architecture alignment
⢠5+ years in product management, technical product management, or a senior technical role owning a Kubernetes product, managed Kubernetes service, or large-scale cluster fleet ⢠Hands-on familiarity with Cluster API ⢠Familiarity with Kubernetes distributions and their lifecycle, including k0s, kubeadm, or equivalent ⢠Familiarity with hosted or externally managed control planes ⢠Familiarity with add-on delivery through Helm and GitOps ⢠Fluency in multi-tenancy and cluster hardening, including RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycle ⢠Hands-on experience running Kubernetes on bare metal ⢠Experience with node provisioning, CNI selection, load balancing and ingress, rolling upgrades across control planes and node pools ⢠Experience with the NVIDIA GPU Operator and device plugins ⢠Experience on the provider side of a service, at a cloud or hosting company or a platform organization that treated its users as paying customers ⢠Experience configuring or deploying SLURM on Kubernetes, such as Slinky, Soperator, or equivalent
⢠Operate some of the most advanced AI infrastructure environments in production today ⢠Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments ⢠Help define operational standards and reliability practices for next-generation AI infrastructure services ⢠Influence the adoption of AI-powered operational capabilities through k0rdent AI ⢠Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale ⢠Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation ⢠Collaborate with a world-class, distributed team committed to openness and technical excellence
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