About The Position

Mirantis is seeking a skilled Kubernetes DevOps Engineer to drive end-to-end custom integration across their k0rdent-ai platform. The role involves collaborating with engineering teams to design and deliver scalable AI infrastructure on Kubernetes environments. Responsibilities include contributing to open-source projects, making strategic architectural decisions, and partnering with external organizations to integrate cutting-edge solutions. The engineer will work within an agile framework and directly impact how enterprises deploy and manage AI workloads at scale.

Requirements

  • 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
  • Excellent communication in English - written and spoken

Nice To Haves

  • 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
  • Preferably a university/master degree in Mathematics, Electronics, Telecommunications, or Software Engineering

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

Benefits

  • Competitive compensation package
  • Strong benefits plan
  • Stock options
  • Professional development and training
  • Attend conferences and working groups
  • Company outings, happy hours, hackathons, and tech talks
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service