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.
Responsibilities
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
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
Benefits
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.
Other Details
Remote Work: Yes
Employment Type: Full-time
Key Skills:
Experience: years
Vacancy: 1
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