Principal Software Engineer (Storage)

Company Description

About Mirantis

Mirantis, an IREN company, 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.  https://www.mirantis.com/

Job Description

Role Overview

Design and build the software that provisions, integrates, and operates high-performance storage for GPU-accelerated compute and AI platforms. You will own a Storage as a Service component of the platform end-to-end, working with the Product Management, other development teams, and partner engineers to deliver against a dynamic set of requirements. You will develop the control-plane services, drivers, and tooling that connect enterprise and scale-out storage systems to Kubernetes-based workloads across hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.

About the Role

We are looking for a principal-level software engineer who thinks in systems and data paths — someone who can reason about throughput, latency, consistency, and failure across a storage stack, then express that understanding as clean, testable Go. The right candidate has built production software against real storage systems (whether enterprise NAS, scale-out, or object), understands what makes storage fast and reliable at scale, and has a track record of leading an engineering team, exerting influence across the whole organization.

Responsibilities

1. Storage Software & Integration

• Design and build control-plane services, drivers (e.g., CSI), and tooling that provision, configure, and operate storage for Kubernetes-based AI/compute workloads.

• Integrate high-performance storage platforms — Dell PowerScale, VAST, and comparable systems — into automated, declarative provisioning workflows.

• Build data-path, telemetry, and observability tooling to diagnose and resolve performance, reliability, and scaling issues.

2. Software & Automation

• Write production-quality software — primarily in Go — with strong testing, code review, and operational rigor.

• Deliver infrastructure-as-code (Terraform/OpenTofu) and GitOps-driven pipelines (ArgoCD or Flux) for storage configuration and lifecycle.

• Support bare-metal and hybrid provisioning where storage intersects host and cluster bring-up.

3. Platform & Hybrid Delivery

• Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies.

• Architect storage software for fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

Qualifications

Required Qualifications

• 7+ years of software development, including production systems, with Go as a primary language.

• 5+ years building or integrating storage systems (distributed, scale-out, NAS, or object) at scale.

• Solid understanding of storage fundamentals: file/block/object models, throughput and latency behavior, caching, consistency, and failure modes.

• Experience with Kubernetes storage (CSI, persistent volumes, storage classes), and Kubernetes controllers and operators patterns.

• Strong written and verbal communication with technical audiences, non-technical stakeholders, and executive leadership.

Preferred

• Hands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologies.

• Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API.

• Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage).

Additional Information

Why you’ll love Mirantis

• Build the foundation platform for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises

• Collaborate with a world-class, distributed team committed to openness and technical excellence

• Shape the product narrative and influence go-to-market success

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