
501 - 1000 employees
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą 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 September 4
đ€ Texas â Remote
â° Full Time
đĄ Mid-level
đ Senior
âïž Technical Product Manager (TPM)
đŠ H1B Visa Sponsor
đ» Ghost score 28%
Where this job comes from
Posted on Mirantis's careers page, not through a job board
First seen by Remote Rocketship September 4
Still open on Mirantis's site. Checked 11 hours ago.

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