Senior Software Engineer (Storage)

Join our team as a Senior Software Engineer (Storage) and play a key role in designing and building software that provisions, integrates, and operates high-performance storage for GPU-accelerated compute and AI platforms. You will develop control-plane services, drivers, and tooling that connect enterprise and scale-out storage systems to Kubernetes-based workloads. The ideal candidate has a strong understanding of storage fundamentals, hands-on experience with high-performance storage platforms, and experience with Kubernetes storage and infrastructure-as-code.

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

Responsibilities

• Design and build software for provisioning, integrating, and operating high-performance storage for GPU-accelerated compute and AI platforms.
• Develop control-plane services, drivers, and tooling that connect enterprise and scale-out storage systems to Kubernetes-based workloads.
• Integrate high-performance storage platforms into automated, declarative provisioning workflows and build data-path, telemetry, and observability tooling.
• Proficiency in Python and/or Rust in addition to Go

Requirements

• 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