# Senior Golang Software Engineer, Infrastructure - remote in the US at Mirantis

- Company: Mirantis
- What the company does: 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. Backed by Insight and Sapphire.
- Company website: https://www.mirantis.com/
- Type: Startups
- Level: Senior
- Location: Remote, USA
- Work setup: Remote
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://jobs.smartrecruiters.com/Mirantis/744000150417468
- Page: https://www.1752.vc/careers/jobs/mirantis-senior-golang-software-engineer-infrastructure-remote-in-the-us/

## About the role

• 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.

## What they're looking for

- • 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

Tags: Engineering