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.

• 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.

What does Mirantis offer you?

- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge, open-source innovation;
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
- Professional development and training;
- Attend conferences and working groups;
- Company outings, happy hours, hackathons, and tech talks;
- Receive a competitive compensation package with a strong benefits plan.

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 [email protected]

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