Software Engineer, Infrastructure (Go) - remote in the US

Mirantis, Inc.

United States

Hybrid

USD 160,000 - 210,000

Full time

29 hours ago
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Job summary

Mirantis seeks a Software Engineer, Infrastructure (Go) to design and implement the infrastructure services powering our GPU-as-a-Service platform. You will build the control plane that translates high-level API calls into hardware actions, enrolling bare-metal servers, provisioning OS, and assembling multi-tenant Kubernetes clusters on high-performance hardware.

You will own the full lifecycle of infrastructure services, from server APIs to provisioning workflows and reconciliation loops,

Qualifications

  • Strong experience designing RESTful APIs and gRPC services.
  • Proficiency with Kubernetes primitives and controller/reconciler patterns.
  • Hands-on experience with bare-metal provisioning (BMC/Redfish, PXE/iPXE, image management).
  • Experience building asynchronous workflows or event-driven systems (e.g., Temporal).

Responsibilities

  • Design, build, and maintain REST and gRPC APIs for bare-metal lifecycle, MachineType definitions, and cluster CRUD operations.
  • Develop asynchronous workflows to enroll servers, provision OS, and bring up clusters.
  • Implement interfaces to visualize hardware inventory, provisioning progress, and cluster health.
  • Design error-handling, idempotency, and reconciliation loops for long-running provisioning tasks.
  • Collaborate on API versioning and gateway patterns.

Skills

Go programming
Kubernetes
RESTful APIs
gRPC
Asynchronous workflows

Tools

k0rdent
Metal3
Cluster API
Terraform/OpenTofu
ArgoCD
Flux

Job description

Software Engineer, Infrastructure (Go) - remote in the US
  • Full-time

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 are looking for an experienced Full-Stack Software Engineer to design and implement the Infrastructure Services that power our GPU-as-a-Service platform. You will build the control plane that turns high-level API calls into real infrastructure actions — enrolling bare-metal servers, provisioning them, and assembling them into multi-tenant Kubernetes clusters on high-performance hardware.

You will own the full lifecycle of the infrastructure-level services—from the Server and MachineType APIs down to the provisioning workflows and reconciliation loops that keep the platform's view of hardware consistent with physical reality.

Key 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.
  • 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.

Preferred Qualifications

  • 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.

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 [emailprotected]

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