Posted 4 weeks ago

Senior Software Engineer (Storage)

Mirantis

Remote · United States 🇺🇸

Remote
Full Time
Kubernetes
Python
Software Engineering
Terraform

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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
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
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
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
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
Solid understanding of storage fundamentals: file/block/object models, throughput and latency behavior, caching, consistency, and failure modes
Hands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologies
Experience with Kubernetes storage (CSI, persistent volumes, storage classes) and infrastructure-as-code
Strong written and verbal communication with technical audiences
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
Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage)
Proven experience in sovereign or high-security air-gapped environments
Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API
Proficiency in Python and/or Rust in addition to Go