AI Storage Infrastructure Engineer

Posted Sep 11

This is a fully remote position, open to applicants in United States.

📋 Description

• Deploy, integrate, and manage high-performance storage solutions for GPU-accelerated computing and AI platforms.

• Incorporate NFS-based high-performance storage solutions like VAST and Dell PowerScale into Kubernetes clusters utilizing CSI, storage classes, and persistent volumes.

• Optimize NFS data paths, including mount options, nconnect/RDMA, Linux clients, and network configurations.

• Deploy and oversee storage services and operators.

• Manage storage capacity, quotas, snapshots, and lifecycle.

• Configure and enhance Linux systems for storage workloads, covering drivers, file systems, network configurations, and kernel parameters.

• Deliver storage integration for k0s-based Kubernetes utilizing Cluster API and K0rdent management/child cluster architectures.

• Operate storage in completely disconnected air-gapped environments, considering Harbor artifact/mirror connectivity and PKI/TLS factors.

• Automate storage provisioning and configuration using Terraform/OpenTofu and GitOps pipelines with ArgoCD or Flux.

• Develop monitoring, alerting, and observability systems for storage performance, capacity, and health.

• Diagnose and resolve performance, reliability, and scalability challenges across the storage stack.

• Establish operational standards and collaborate across teams.


⛳️ Requirements

• Over 7 years of experience in Site Reliability Engineering (SRE) or hardware/storage infrastructure operations.

• More than 5 years of experience in building and operating large-scale distributed storage systems.

• At least 7 years of experience with Linux and Kubernetes storage principles (NFS, CSI).

• A minimum of 1 year of experience in integrating or developing High-Performance Storage solutions (VAST, Weka, DDN, PowerScale).

• Extensive knowledge of Linux storage and networking fundamentals, down to the kernel and NFS-client layers.

• Proficiency in Kubernetes storage.

• Experience with infrastructure-as-code and GitOps methodologies.

• Proven ability to diagnose performance and reliability issues from end to end.

• Experience with bare-metal hardware is highly advantageous.

• Strong communication skills across teams.


🏝️ Benefits

• Opportunities for professional development and training.

• Participation in conferences and working groups.

• Company outings, happy hours, hackathons, and tech talks.

• Competitive compensation package coupled with a robust benefits plan.

• Collaborate with exceptionally passionate, talented, and engaging colleagues.

• Be part of pioneering open-source innovation.

• High-energy environment that values openness, collaboration, risk-taking, and continuous growth.

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