> Markdown version of [/jobs/ext/824815-senior-kubernetes-devops-engineer-k0rdent-ai-apps-core-services](https://www.wearedevelopers.com/jobs/ext/824815-senior-kubernetes-devops-engineer-k0rdent-ai-apps-core-services). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

- **Company:** Mirantis, Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Linux, DevOps, Open Source Technology, OpenStack, Software Deployment, Software Engineering, Systems Architecture, Virtualization Technology, AI Infrastructure, Delivery Pipeline, Grafana, HybridCloud, Containerization, Kubernetes, Infrastructure Automation Frameworks, Microservices
- **Published:** June 25, 2026
- **Apply:** https://jobs.smartrecruiters.com/Mirantis/744000134304999-senior-kubernetes-devops-engineer-k0rdent-ai-apps-core-services

## About the Role

* 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

Nice to Have:

 * OpenStack experience - familiarity with the APIs as a user
 * Experience handling talks at events and running webinars
 * Experience in onboarding applications to the cloud
 * Production operations experience
 * Experience with design, development, testing, and monitoring of large-scale and data-intensive systems
 * Experience with operating AI-related workloads

## Description

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


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