Onsite Storage Systems Engineer: Linux & HA

Hewlett Packard Enterprise

Fort Collins (CO)

On-site

USD 112,000 - 212,000

Full time

12 days ago
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Job summary

Hewlett Packard Enterprise seeks an experienced storage systems engineer to design and maintain distributed storage software from an onsite office in the United States. The role requires strong Linux, kernel, and storage expertise, plus experience with high-availability clustering and API integration.

You will work across storage, OS, networking, and hardware layers, debugging complex issues and building automation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field
  • 4–6+ years of relevant systems or storage development experience
  • Proven delivery of distributed systems or storage platforms
  • Strong cross-domain expertise across storage, OS, networking, and hardware
  • Excellent debugging and problem-solving skills

Responsibilities

  • Design and maintain distributed storage system software
  • Develop and enhance high-availability clustering solutions
  • Drive system integration across storage, networking, and OS layers
  • Debug complex issues across software, OS, networking, and hardware
  • Develop automation and configuration management tooling
  • Integrate APIs and management interfaces
  • Support containerized and virtualized deployments
  • Assist support team in root causing customer issues and come up with appropriate fixes

Skills

Linux systems
Kernel modules
Storage systems
High Availability
C/C++ programming
Go/Python/Bash
Networking TCP/IP
REST/HTTPS
Docker/Podman
KVM/VMware
SAS/SCSI/NVMe

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Pacemaker/Corosync
Redfish/Swordfish
KVM/VMware
Docker/Podman

Job description

Hewlett Packard Enterprise seeks an experienced storage systems engineer to design and maintain distributed storage software from an onsite office in the United States. The role requires strong Linux, kernel, and storage expertise, plus experience with high-availability clustering and API integration.

You will work across storage, OS, networking, and hardware layers, debugging complex issues and building automation.

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