Senior Software Engineer (Storage) - remote in the US

We are looking for a 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 prefers declarative automation over manual operations. You should be self-directed, comfortable owning ambiguous problems end to end, and effective communicating technical decisions across teams., 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.

1. 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.

2. 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.

• 5+ 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.
• Hands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologies.
• 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 infrastructure-as-code.
• Strong written and verbal communication with technical audiences.

Preferred

• Proficiency in Python and/or Rust in addition to Go.
• 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).
• Proven experience in sovereign or high-security air-gapped environments.

• Build the observability foundation 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

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