Principal Software Engineer – Storage

Mirantis

. Design and build control-plane services, drivers such as CSI, and tooling that provision, configure, and operate storage for Kubernetes-based AI/compute workloads .

Posted 11/12/2026full-timeRemote • Texas • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building control-plane services and storage systems for Kubernetes-based workloads, with a strong focus on high-performance storage integration and infrastructure-as-code practices. Proven ability to lead engineering teams and collaborate effectively with cross-functional stakeholders to meet evolving requirements.

Highest-signal resume keywords

Go Programming LanguageKubernetes Storage IntegrationInfrastructure-as-Code (Terraform/OpenTofu)High-Performance Storage PlatformsStorage Systems Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentStorage Systems IntegrationKubernetes ControllersData-Path ToolingTelemetry and ObservabilityProduction-Quality SoftwareTesting and Code ReviewStorage FundamentalsGPU/AI Workloads DevelopmentDeclarative Provisioning Workflows

Soft Skills

Strong Communication SkillsLeadershipCollaboration

Tools & Technologies

Dell PowerScaleVASTArgoCDFluxMirantis K0rdentCluster APIPKI/TLS

Industry Keywords

Storage as a ServiceAI/Compute WorkloadsBare-Metal ProvisioningHybrid ProvisioningEnd-to-End Ownership

Tech Stack

Tools & technologies

FluxKubernetesTerraformGo

About the role

Key responsibilities & impact

Design and build control-plane services, drivers such as CSI, and tooling that provision, configure, and operate storage for Kubernetes-based AI/compute workloads
Integrate high-performance storage platforms such as 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 using Terraform/OpenTofu and GitOps-driven pipelines using 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 and K0rdent management/child cluster topologies
Architect storage software for fully disconnected air-gapped environments, including Harbor artifact/mirror connectivity and PKI/TLS considerations
Own a Storage as a Service component of the platform end-to-end
Work with Product Management, development teams, and partner engineers to deliver against changing requirements
Lead an engineering team and influence decisions across the organization

Requirements

What you’ll need

7+ years of software development experience, 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)
Experience with Kubernetes controllers and operators patterns
Strong written and verbal communication with technical audiences, non-technical stakeholders, and executive leadership
Hands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologies preferred
Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API preferred
Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage) preferred

Benefits

Comp & perks

Collaborate with a world-class, distributed team committed to openness and technical excellence
Opportunity to build the foundation platform for the AI cloud era
Work directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
Opportunity to shape the product narrative and influence go-to-market success