Senior Software Engineer (Storage) - remote in the US

Overview

Design and build the software that provisions, integrates, and operates high-performance storage for GPU-accelerated compute and AI platforms. 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 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.

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.

Required:

• 7+ years of experience with Go in production systems
• 5+ years of experience building distributed production systems at scale
• 5+ years of Kubernetes experience as a developer, with Infrastructure as a Code approach
• Linux and Kubernetes storage fundamentals (NFS, CSI)

Preferred

• Proficiency in Python 
• Experience developing or integrating High Performance Storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage).
• Proven experience in sovereign or high-security air-gapped environments.