Global Data Center Production & Automation Engineer

Meta; Papillion (NE); On-site; USD 111,000 - 159,000; Full time

Job summary

Meta seeks a Data Center Production Operations Engineer to sustain the reliability, efficiency, and scalability of its global data center infrastructure. You will own day-to-day health of server fleets, develop runbooks, and drive automation to reduce toil across large-scale ecosystems.

Responsibilities include incident response, telemetry-driven health checks, collaboration with hardware and capacity teams, and continual process improvements.

Qualifications

• 6+ years in data center operations or production infra.
• Hands-on server hardware troubleshooting and failure diagnosis.
• Experience with monitoring and incident response in large-scale data centers.

Responsibilities

• Manage and maintain large-scale server fleets across data center environments.
• Monitor production systems health using observability tooling and telemetry.
• Develop and refine runbooks, escalation, and incident response playbooks.
• Collaborate with hardware, network, and capacity teams for deployments and lifecycle work.
• Identify systemic issues and drive root-cause analysis and corrective action.
• Contribute to automation initiatives to reduce manual toil and improve provisioning.
• Communicate status and risk assessments to engineering and operations teams.
• Support capacity readiness and hardware bring-up with data center technicians.
• Identify gaps in monitoring and tooling to improve fleet visibility.
• Participate in 24/7 on-call rotation and travel up to 15%.

Skills

Data center ops

Server hardware diag

Observability tooling

Automation scripting

On-call rotation

Tools

Python

Bash

IPMI

Redfish

Job description

Meta seeks a Data Center Production Operations Engineer to sustain the reliability, efficiency, and scalability of its global data center infrastructure. You will own day-to-day health of server fleets, develop runbooks, and drive automation to reduce toil across large-scale ecosystems.

Responsibilities include incident response, telemetry-driven health checks, collaboration with hardware and capacity teams, and continual process improvements.