AI Storage Infrastructure Engineer

🕒 September 11

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 31%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 63 days.
• Jobs at this company usually fill in 38 days.
• No salary listed.

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Mirantis

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Integrate NFS-based high-performance storage such as VAST and Dell PowerScale into Kubernetes clusters via CSI, storage classes, and persistent volumes • Tune NFS data paths, including mount options, nconnect/RDMA, Linux clients, and network settings, for high-throughput, low-latency GPU/AI workloads • Deploy and operate storage services and operators • Manage storage capacity, quotas, snapshots, and lifecycle • Configure and optimize Linux systems for storage workloads, including drivers, file-system layout, network tuning, and kernel parameters • Deliver storage integration for k0s-based Kubernetes using Cluster API and K0rdent management/child-cluster topologies • Operate storage in fully disconnected air-gapped environments, including Harbor artifact/mirror connectivity and PKI/TLS considerations • Automate storage provisioning and configuration with Terraform/OpenTofu and GitOps pipelines using ArgoCD or Flux • Build monitoring, alerting, and observability for storage performance, capacity, and health • Diagnose and resolve performance, reliability, and scaling issues across the storage stack • Set operational standards and communicate across teams

🎯 Requirements

• 7+ years of experience in SRE or hardware/storage infrastructure operations • 5+ years of building/operating distributed production Storage systems at scale • 7+ years of experience in Linux and K8s storage fundamentals (NFS, CSI) • 1+ years of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale) • Deep Linux storage and networking knowledge, including kernel and NFS-client layer • Experience with Kubernetes storage, CSI, storage classes, and persistent volumes • Experience with infrastructure-as-code and GitOps • Experience with Terraform/OpenTofu and ArgoCD or Flux • Bare-metal hardware experience is a strong plus • Ability to operate in hybrid, edge, and air-gapped environments • Experience with Cluster API (CAPI), K0rdent, Harbor, and PKI/TLS considerations • Experience building monitoring, alerting, and observability for storage systems

🏖️ Benefits

• Professional development and training • Attend conferences and working groups • Company outings, happy hours, hackathons, and tech talks • Competitive compensation package with a strong benefits plan

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