Senior Software Engineer

Who you are

• You should be self-directed, comfortable owning ambiguous problems end to end, and effective communicating technical decisions across teams
• 7+ years of experience with Golang 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)
• 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

What the job involves

• 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
• 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
• 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