Senior AI Storage Infra Engineer — Kubernetes & GPU
Mirantis Inc
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Benefits offered by this job
Job summary
Mirantis Inc. is seeking a senior Storage Systems Engineer/SRE to own the storage layer for GPU-accelerated AI platforms.
You will automate, observe, and tune NFS-based storage integrated into Kubernetes clusters via CSI, focusing on high throughput and low latency for demanding workloads. You should bring deep Linux storage knowledge, experience with cluster topologies, air-gapped environments, and infrastructure-as-code plus GitOps workflows.
Qualifications
- 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 year of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale).
Responsibilities
- Storage Integration & Operation: Integrate NFS-based high-performance storage into Kubernetes via CSI, storage classes, and persistent volumes.
- Linux Platform & System Integration: Optimize Linux systems for storage workloads, including kernel parameters and network tuning.
- Automation & Observability: Automate storage provisioning with Terraform/OpenTofu and GitOps (ArgoCD/Flux); build monitoring and alerting.
Skills
Tools
Job description
Mirantis Inc. is seeking a senior Storage Systems Engineer/SRE to own the storage layer for GPU-accelerated AI platforms.
You will automate, observe, and tune NFS-based storage integrated into Kubernetes clusters via CSI, focusing on high throughput and low latency for demanding workloads. You should bring deep Linux storage knowledge, experience with cluster topologies, air-gapped environments, and infrastructure-as-code plus GitOps workflows.
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