About the Role
We are looking for a principal-level 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 has a track record of leading an engineering team, exerting influence across the whole organization.
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
7+ 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.
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 Kubernetes controllers and operators patterns.
Strong written and verbal communication with technical audiences, non-technical stakeholders, and executive leadership.
Preferred
Hands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologies.
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).
Why you’ll love Mirantis
Build the foundation platform 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
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