Overview

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.

About the Role

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, comfortable on bare metal down to the disk, 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.

Responsibilities

1. Storage Integration & Operation

• 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, 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.

2. Bare Metal & Platform

• Provision and configure storage on bare-metal hosts, including disk layout, drivers, and kernel/network tuning.

• 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.

3. Automation & Observability

• 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.

• 5+ years in DevOps, SRE, or infrastructure operations, with strong hands-on experience operating Kubernetes storage (CSI, persistent volumes, storage classes) in production.

• Experience integrating and operating NFS-based high-performance / NAS storage, including data-path tuning.

• Bare-metal operations experience: host provisioning, disk/storage configuration, and Linux storage and networking fundamentals.

• Proficiency with infrastructure-as-code (Terraform/OpenTofu) and GitOps-driven configuration.

• Scripting/automation skills (e.g., Bash, Python, or Go).

• Strong written and verbal communication with technical audiences.

Preferred

• Hands-on experience with VAST and/or Dell PowerScale.

• Experience with GPUDirect Storage and RDMA/RoCE data paths.

• Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API.

• Familiarity with other storage backends (Ceph, object/S3) and CSI driver operations.

• Proven experience in sovereign or high-security air-gapped environments.

What does Mirantis offer you?

- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge, open-source innovation;
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
- Professional development and training;
- Attend conferences and working groups;
- Company outings, happy hours, hackathons, and tech talks;
- Receive a competitive compensation package with a strong benefits plan.

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]

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