
501 - 1000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.
🔥 1 minute ago
Where this job comes from
Posted on Mirantis's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

501 - 1000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.
• 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
• 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
• 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
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