Jobs · Distribution

Senior Software Engineer (Storage) - remote in the US

Mirantis · United States · 1 mo ago
RemoteRemoteDistributionFull-time

Responsibilities

  • 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.

Qualifications

  • 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.
  • Proficiency in Python and/or Rust in addition to Go.
  • Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE).
  • Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage).
  • Proven experience in sovereign or high-security air-gapped environments.

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