About the role
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ 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 Strong Kubernetes expertise as a user and operator Strong knowledge of hardened, high-quality Kubernetes integration General experience with Linux, virtualization, networking, and storage Overall system architecture, scalability, reliability, and performance experience Experience in debugging, diagnosing, and troubleshooting complex production software Experience in developing and maintaining services built on microservice architecture Experience in large enterprise IT ecosystem Preferably a university/master degree in Mathematics, Electronics, Telecommunications, or Software Engineering Excellent communication in English - written and spoken
