Technical Product Manager (Kubernetes Services)
- Austin, United States
- Mid Level
- Posted
Join Mirantis as a Technical Product Manager for Kubernetes Services. In this role, you will define the strategy, roadmap, and feature priorities for our Kubernetes-as-a-Service offering. You will work directly with engineering, product management, marketing, and field teams to shape the product and drive go-to-market success. This is an opportunity to build the Kubernetes service layer for the AI cloud era and collaborate with a world-class team committed to technical excellence.
Experience configuring or deploying SLURM on Kubernetes (Slinky, Soperator, or equivalent)
Responsibilities
- Définir la stratégie, la feuille de route et les priorités des fonctionnalités pour le service Kubernetes-as-a-Service.
- Travailler directement avec l'ingénierie pour façonner les exigences, évaluer les compromis et expédier des capacités de cycle de vie de cluster sécurisées, évolutives et fiables.
- Gérer le backlog Kubernetes, en utilisant les retours des déploiements de production et des partenaires de conception pour affiner les priorités de la feuille de route.
- Hands-on familiarity with Cluster API, Kubernetes distributions and their lifecycle (k0s, kubeadm, or equivalent), hosted or externally managed control planes, and add-on delivery through Helm and GitOps
Requirements
- 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
- Hands-on experience running Kubernetes on bare metal, including node provisioning, CNI selection, load balancing and ingress, rolling upgrades across control planes and node pools, and the NVIDIA GPU Operator and device plugins
- 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
- Fluency in multi-tenancy and cluster hardening: RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycle
