Kubernetes DevOps/Platform Engineer at MIRANTIS INC

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, GPU Orchestration, Automation, Infrastructure Provisioning, Service Deployments, Networking, Virtualization, CI/CD, Scripting, GitOps, Troubleshooting, Storage Networking, Golang, Nvidia, Metal3, SDN

Industry

Software Development

Description

Company Description About Mirantis 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. We serve global leaders including Adobe, PayPal, Liberty Mutual, Splunk, and Volkswagen. Learn more at www.mirantis.com. Job Description We are looking for a skilled Kubernetes DevOps/Platform 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 GPU infrastructure orchestration based on Kubernetes stack. Mirantis k0rdent AI empowers platform architects and MLOps engineers with open, composable infrastructure management for AI workloads and scalable inference application hosting at scale. It allows rapid deployment and execution of models alongside core application components and Mirantis-validated foundation services. Deployment can be performed on any cloud or infrastructure with zero lock-in, all built on Kubernetes standards. It also enables automated observation, scaling, and management to ensure optimal performance, GPU utilization, and cost efficiency. https://www.mirantis.com/software/mirantis-k0rdent-ai/ https://www.mirantis.com/resources/mirantis-ai-factory-reference-architecture/ Responsibilities Build comprehensive automation pipelines for infrastructure provisioning and service deployments Provide operational support by diagnosing, triaging, and resolving complex system issues Design and deploy bare metal Kubernetes clusters for GPU/AI workloads in customer datacenters Design and implement datacenter networking with Nvidia Bluefield 3 DPUs Configure and troubleshoot Infiniband fabrics for high-performance GPU interconnects Implement Metal3-based bare metal provisioning pipelines for physical server infrastructure Configure and integrate Kubevirt for VM-based workloads on Kubernetes Deploy and manage k0rdent (Cluster API-based) tooling for Kubernetes cluster lifecycle management for tenant clusters Implement GPU workload onboarding systems for training and inference Build automation using GitHub CI for product integration testing Work directly with product teams to collect and drive the requirements for future features / fixes Qualifications Advanced Kubernetes expertise - Hands-on experience operating production clusters, including: Deep understanding of Kubernetes architecture, controllers, and operators Experience with Cluster API lifecycle management and upgrades Troubleshooting complex multi-tenant environments Custom Resource Definitions (CRDs) and operator patterns Storage networking (NVMe-oF, Ceph) GitHub Actions/CI or similar automation platforms Bare metal infrastructure management - Direct experience provisioning and managing physical servers, BIOS/firmware management, and hardware lifecycle automation Virtualization technologies - Practical experience with KVM, LibVirt, and VM management on Linux Software Defined Networking (SDN) - Understanding of overlay networks, network policies, and SDN controllers in Kubernetes and VM environments Golang proficiency - Ability to read, debug, and contribute to Kubernetes operator code and controllers CI/CD automation - Strong scripting and automation skills (Bash, Python, Ansible, Terraform) and experience building infrastructure-as-code pipelines GitOps practices - Experience with declarative infrastructure management and Git-based workflows Will be a strong Plus: InfiniBand networking experience Cluster API framework experience Nvidia GPU infrastructure (NVLink) SmartNIC experience (Nvidia Bluefield or similar) OVN (Open Virtual Network) or other SDN platforms Metal3 or similar baremetal provisioning tools Additional Information What does Mirantis offer you? - Work with an established Silicon Valley leader in the cloud infrastructure industry; - Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies; - Be a part of cutting-edge, open-source innovation; - Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued; - Professional development and training; - Attend conferences and working groups; - Company outings, happy hours, hackathons, and tech talks; - Receive a competitive compensation package with a strong benefits plan. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)! We are a Leader for Container Management in G2 (#2 after AWS)!

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Responsibilities

The role involves building comprehensive automation pipelines for infrastructure provisioning and service deployments, as well as providing operational support for complex system issues. Additionally, the engineer will design and deploy bare metal Kubernetes clusters for GPU/AI workloads in customer datacenters.