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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior DevOps Engineer (Storage) - remote, US/EU - **Company:** Mirantis, Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $94,000.0 - $142,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Bash Shell, Big Data, Common ISDN Application Programming Interface (CAPI), Data Centers, Linux, DevOps, Python (Programming Language), Machine Learning, Networking Basics, Open Source Technology, Public Key Infrastructure, Remote Direct Memory Access, AI Infrastructure, Ceph (Software), Scripting, Kubernetes, Bare Metal, Terraform - **Published:** July 26, 2026 - **Apply:** https://www.careerjet.com/jobad/us39d189d838a9add3354aee431354ed1e ## About the Role 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. ## 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., 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. 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