Mirantis

Mirantis

Senior Software Engineer (Storage) – remote in the US

USARemotePosted Today
Full TimeSeniorRemoteUS

See how this job matches your profile

Sign in for an AI-powered fit score, breakdown, and a tailored resume.

Sign in

Job Description

Company DescriptionAbout MirantisMirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI,

Key Highlights

  • 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.
  • 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.

Qualifications

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 Qualifications

  • 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.

Skills & Technologies

KubernetesMachine LearningExpressGoTerraformPythonRustAWS

Interested in this role?

Sign in or create a free account to see how this job matches your skills, apply with one click, and let our AI tailor your resume.

Sign in to apply
AI-powered resume optimization
Save and track your applications

Job Details

Employment Type

Full Time

Experience Level

Senior

Location

USA

Work Mode

Remote

Posted

Today

Country

US