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Mirantis, Inc. is seeking an experienced software engineer to design and implement high-performance storage provisioning for GPU/AI workloads.
You will build control-plane services, CSI drivers, and tooling to connect storage systems to Kubernetes workloads across hybrid, edge, and air-gapped environments. You will work with Dell PowerScale, VAST, and similar storage platforms, and contribute to declarative provisioning workflows, data-path instrumentation, and secure, scalable pipelines using
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 GoThe 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 operationsYou should be self-directed, comfortable owning ambiguous problems end to end, and effective communicating technical decisions across teamsSolid understanding of storage fundamentals: file/block/object models, throughput and latency behavior, caching, consistency, and failure modesHands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologiesExperience with Kubernetes storage (CSI, persistent volumes, storage classes) and infrastructure-as-codeStrong written and verbal communication with technical audiences5+ years of software development, including production systems, with Go as a primary language5+ years building or integrating storage systems (distributed, scale-out, NAS, or object) at scaleExperience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage)Proven experience in sovereign or high-security air-gapped environmentsExperience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster APIProficiency in Python and/or Rust in addition to Go