Kubernetes DevOps Engineer - Global k0rdent-ai
Job Overview
We are looking for a skilled Kubernetes DevOps Engineer to drive end-to-end custom integration across our k0rdent-ai platform. You will collaborate with our engineering teams to design and deliver scalable AI infrastructure on Kubernetes environments.
Your responsibilities will include contributing to open-source projects, making strategic architectural decisions, and partnering with external organizations to integrate cutting-edge solutions. Working within an agile framework, you will directly impact how enterprises deploy and manage AI workloads at scale.
Main Responsibilities
Design, implement, and document Kubernetes hardened integrations that connect with enterprise customer environments
Build comprehensive automation pipelines for infrastructure provisioning and service deployment across hybrid cloud architectures
Provide operational support by diagnosing, triaging, and resolving complex system issues with clear prioritization based on customer business impact
Work with core cloud-native technologies and AI frameworks including k0rdent, k0s, k0smotron, Kubeflow, Kserve, vLLM, Nvidia AI Enterprise, Kubevirt, Harbor, ArgoCD, Grafana monitoring platforms and more
Partner closely with customer development teams to ensure successful application deployment and optimization on Kubernetes infrastructure