Senior Storage Systems Engineer – remote in the US

About This Opportunity

We are representing a confidential cloud infrastructure organization seeking a Senior Storage Systems Engineer to work remotely anywhere in the United States. This role focuses on deploying, integrating, and operating high-performance storage for GPU-accelerated compute and AI platforms. You will own the storage layer where Kubernetes meets bare metal, building and tuning infrastructure that keeps data flowing to demanding workloads at scale across hybrid, edge, and air-gapped deployments.

Responsibilities

In this position, you will:

• Integrate NFS-based high-performance storage solutions into Kubernetes clusters via CSI, storage classes, and persistent volumes
• Tune the NFS data path including mount options, nconnect/RDMA, Linux client configurations, and network settings for high-throughput, low-latency GPU and AI workloads
• Deploy and operate storage services and operators while managing capacity, quotas, snapshots, and lifecycle operations
• Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization
• Deliver storage integration for Kubernetes via Cluster API and management/child cluster topologies
• Operate storage in fully disconnected air-gapped environments, managing local artifact connectivity and PKI/TLS considerations
• Automate storage provisioning and configuration using infrastructure-as-code tools like Terraform or OpenTofu and GitOps pipelines
• Build monitoring, alerting, and observability systems for storage performance, capacity, and health
• Diagnose and resolve performance, reliability, and scaling issues across the entire storage stack

What We're Looking For

Our ideal candidate brings:

• 7+ years of experience in SRE or hardware/storage infrastructure operations
• 5+ years building and operating distributed production storage systems at scale
• 7+ years of hands-on experience with Linux and Kubernetes storage fundamentals, particularly NFS and CSI
• 1+ years integrating with or building high-performance storage solutions such as VAST, Weka, DDN, or PowerScale
• Deep expertise in Linux storage and networking fundamentals down to the kernel and NFS-client layer
• Strong automation mindset with infrastructure-as-code and GitOps as your default approach
• Self-directed problem-solving abilities for diagnosing performance and reliability issues end to end
• Clear communication skills across technical and cross-functional teams
• Bare-metal hardware experience is a strong advantage

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening conversation. If there's a strong mutual fit, we will submit your candidacy to our client for their consideration. Please note that you should apply exclusively through our platform and not contact the client directly, as we are managing this search on their behalf.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with our clients to ensure fair and equitable consideration for every applicant.