Senior Software Engineer (Storage)
Posted Updated
- 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