Job description

Role Overview 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. About the Role 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. Responsibilities 1. Storage Software & Integration • 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. 2. Software & Automation • 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. 3. Platform & Hybrid Delivery • 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. Required 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. Preferred • Proficiency in Python and/or Rust in addition to Go. • Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API. • Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage). • Proven experience in sovereign or high-security air-gapped environments. Why you’ll love Mirantis • Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises • Collaborate with a world-class, distributed team committed to openness and technical excellence • Shape the product narrative and influence go-to-market success It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. #remote We are a Leader for Container Management in G2 (#2 after AWS)!

Requirements

Must-haves

Storage Software & Integration
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.
Software & Automation
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.
Platform & Hybrid Delivery
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.
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.

Nice-to-haves

Proficiency in Python and/or Rust in addition to Go.
Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API.
Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage).
Proven experience in sovereign or high-security air-gapped environments.
Why you’ll love Mirantis
Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
Collaborate with a world-class, distributed team committed to openness and technical excellence
Shape the product narrative and influence go-to-market success
We are a Leader for Container Management in G2 (#2 after AWS)!

Application prep

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Keywords to mirror

aikubernetesgoapipythonrustaws

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Effort: medium

Benefits

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Vision