Senior Software Systems Engineer; Storage; remote

Senior Storage Systems Engineer - remote in the US

• Full-time

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.

The role is to 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 k spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.

We are looking for a senior systems 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 Git Ops 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 Power Scale) 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.
• Deploy and operate storage services and operators; manage capacity, quotas, snapshots, and lifecycle.
• 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/Open Tofu) and Git Ops 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.

• 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+ yearsof experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, Power Scale)

• - Work with an established Silicon Valley leader in the cloud infrastructure…