Senior Data Center Hardware Engineer - Scale & Automation

DigitalOcean

Seattle (WA)

Hybrid

USD 191,000 - 239,000

Full time

14 days+

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Job summary

DigitalOcean is seeking a Senior Design Infrastructure Engineer to lead hardware development and automation across its data-center stack. You will design scalable hardware, automate processes, and work with vendors to onboard new components for a growing cloud platform.

You’ll collaborate with multiple teams, improve firmware automation, and mentor others in best practices. The role demands hands-on Linux work, scripting in Python/Go, and strong communication.

Qualifications

  • BS CS/Engineering or equivalent practical experience.
  • Strong understanding of x86 server hardware architecture.
  • Hands-on experience designing, implementing, and maintaining liquid-cooled server solutions.
  • Experience automating server components at large-scale using tooling (Redfish, IPMI, etc.).
  • Practical knowledge of PXE boot, UEFI, Linux boot, OpenBMC/BMC implementations, RAID and networking.

Responsibilities

  • Lead hardware design projects with internal stakeholders.
  • Coordinate with vendors on hardware onboarding and delivery.
  • Develop hardware development roadmap to support product requirements.
  • Create tools/processes to orchestrate hardware platform scaling.
  • Mentor team members on configuration management and documentation.
  • Participate in 24/7 on-call rotation and triage hardware issues.

Skills

x86 server hardware
Liquid-cooled servers
Ansible & Chef
Redfish/IPMI
Linux/UNIX
Git
Python/Go
On-call rotation
Communication skills

Education

BS Computer Science/Engineering

Tools

Redfish
IPMI
BMC management

Job description

DigitalOcean is seeking a Senior Design Infrastructure Engineer to lead hardware development and automation across its data-center stack. You will design scalable hardware, automate processes, and work with vendors to onboard new components for a growing cloud platform.

You’ll collaborate with multiple teams, improve firmware automation, and mentor others in best practices. The role demands hands-on Linux work, scripting in Python/Go, and strong communication.

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