Storage Systems Engineer

Location: Remote - California; hybrid work format

Company

hirify.global develops high-performance data platforms built around distributed file systems, object storage, and infrastructure for AI and data-intensive workloads.

What you will do

• Design, build, and optimize features across NFS and storage systems.
• Diagnose bottlenecks across file systems, storage media, networking, and I/O paths.
• Improve performance, scalability, and resiliency in distributed storage environments.
• Work across kernel-space and user-space I/O components to solve complex systems problems.
• Collaborate across storage, systems, and platform engineering layers.
• Develop Python tooling and automation for observability, testing, debugging, and operations.

Requirements

• Strong hands-on experience with Network File Systems (NFS).
• Deep understanding of distributed file systems and experience with object storage.
• Production experience with Kubernetes.
• Strong Python skills.
• Experience with kernel-level and/or user-space I/O stacks.
• Familiarity with NVMe, SSDs, RDMA, and high-speed networking, plus the ability to debug complex performance and reliability issues across system layers.

Culture & Benefits

• Work on low-level systems and performance-sensitive infrastructure problems.
• Influence how high-performance data platforms behave under real-world load.
• Contribute to infrastructure supporting AI and data-intensive workloads.