Senior Golang Software Engineer, Infrastructure - remote in the US

Mirantis is a 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. The company is seeking an experienced Software Engineer, Infrastructure to build the control plane and infrastructure services powering its GPU-as-a-Service platform, including APIs, provisioning workflows, reconciliation loops, and interfaces for hardware and cluster management.

Responsibilities:

• Infrastructure API Design: Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations
• Provisioning & Workflow Development: Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers
• Implementation: Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health
• System Reliability: Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably

Requirements:

• API Development: Strong experience designing RESTful APIs or gRPC services. You understand API versioning and gateway patterns
• Proficiency in Go (preferred for backend/Kubernetes ecosystem)
• Kubernetes Knowledge: Deep understanding of Kubernetes primitives and controller/reconciler patterns. You will be interacting with systems like k0rdent, Metal3, and Cluster API to translate high-level API calls into infrastructure actions
• Bare-Metal Provisioning: Hands-on experience with bare-metal provisioning flows — BMC/Redfish, PXE/iPXE, image management, and hardware inspection
• Asynchronous Systems: Experience building workflow-driven or event-driven systems (e.g., Temporal) where operations are long-running and state must remain consistent across retries and failures
• State Reconciliation: Experience building informers or reconciliation bridges that keep an external datastore consistent with Kubernetes resource state
• Multi-Tenancy: Experience building platforms where strict data and network isolation between tenants is required
• Infrastructure-as-Code: Familiarity with Terraform/OpenTofu and GitOps-driven configuration (ArgoCD or Flux)
• Hardware Domain: Familiarity with GPU server hardware, DPUs/NICs, and high-performance datacenter fabrics