Company Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility.

Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. You will own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale.

Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack. We are looking for a senior DevOps engineer who treats storage as infrastructure to be automated, observed, and tuned — not hand-managed. The right candidate is fluent in Kubernetes storage, deeply versed in Linux storage and networking fundamentals down to the kernel and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads.

You should reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams.



Bare-metal hardware experience is a strong plus, but deep Linux storage knowledge is essential. Integrate NFS-based high-performance storage (e.g., VAST, Dell PowerScale) into Kubernetes clusters via CSI, storage classes, and persistent volumes.

Tune the NFS data path — mount options, nconnect/RDMA, Linux client, and network settings — for high-throughput, low-latency GPU/AI workloads.

Linux

Platform & System Integration Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization. Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies. Operate storage in fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (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.

Hands-on with High Performance Storage solutions (VAST, Weka, DDN, PowerScale) Linux and Kubernetes storage fundamentals (NFS, CSI) Bare-metal experience: hands-on experience with bare-metal host provisioning, raw disk/hardware layout, and physical server storage configurations.

Experience with GPUDirect Storage and RDMA/RoCE data paths Familiarity with other storage backends (Ceph, object/S3) and CSI driver operations. Work with an established Silicon Valley leader in the cloud infrastructure industry; Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Integral **** customers implement next-generation cloud technologies; Professional development and training; We are a Leader for Container Management in G2 (#2 after AWS)! #

📌 Remote Senior Software Systems Engineer (Storage) - Remote In The Us (Barcelona)
🏢 Mirantis
📍 Barcelona