Production Engineer, AI Storage for HPC Cluster

MPower Plus; Stati Uniti; Remoto; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

MPower Plus is seeking a Production Engineer to build, manage, and optimize distributed storage infrastructure powering AI training and HPC clusters. You will work remotely across the USA with a focus on reliability and performance.

You will automate provisioning, scaling, upgrades, and recovery, troubleshoot Linux and network issues, and migrate data across clusters and cloud environments to ensure production-grade storage for AI workloads.

Competenze

• Distributed storage experience and high-performance filesystems required.
• Strong Linux admin and troubleshooting skills.
• Experience with Python, Go, C++, or Rust for automation.
• Focus on production reliability and performance optimization.

Mansioni

• Build and operate distributed file and object storage systems.
• Optimize storage performance, throughput, latency, and caching.
• Automate provisioning, scaling, upgrades, and recovery.
• Troubleshoot Linux, filesystem, and network performance issues.
• Ensure production reliability through monitoring, automation, and incident management.
• Manage data migration across clusters, regions, and cloud environments.

Conoscenze

Distributed storage

Linux administration

Python

Storage performance

Strumenti

Kubernetes

Terraform

Helm

S3/Cloud Storage

Descrizione del lavoro

Production Engineer, AI Storage for HPC Clusters

Location: Remote – USA, Full Time

Job Description

We are seeking an experienced Production Engineer to build, manage, and optimize distributed storage infrastructure supporting AI training and HPC clusters.

Key Responsibilities

• Build and operate distributed file and object storage systems.


• Optimize storage performance, throughput, latency, and caching.


• Automate provisioning, scaling, upgrades, and recovery.


• Troubleshoot Linux, filesystem, and network performance issues.


• Ensure production reliability through monitoring, automation, and incident management.


• Manage data migration across clusters, regions, and cloud environments.

Required Skills

• Production experience with distributed storage or high-performance filesystems.


• Strong Linux administration and troubleshooting.


• Programming/scripting in Python, Go, C++, or Rust.


• Experience with storage performance optimization and production reliability.

Preferred Skills

• Kubernetes, Terraform, Helm, and Infrastructure as Code.


• NFS, POSIX, Lustre, ZFS/OpenZFS.


• Hammerspace, VAST, Pure Storage, or similar platforms.


• HPC/AI storage, checkpointing, S3, and cloud storage.

Note: Candidates from HPC storage, cloud filesystem, storage vendors, or storage-focused SRE backgrounds are encouraged. AI model development experience is not required.