Global Hyperscale Production Systems Engineer

Meta

Chandler (AZ)

On-site

USD 144,000 - 204,000

Full time

8 days ago
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Job summary

Meta is seeking an experienced Production Systems Engineer to join Data Center Operations and optimize the server fleet at hyperscale. You will drive automation, develop diagnostic tools, and coordinate with globally distributed teams to improve uptime and efficiency.

Responsibilities include analyzing telemetry, building tooling, and mentoring peers while traveling up to 25% for site deployments and operational support.

Qualifications

  • Bachelor's degree or equivalent practical experience in CS/CE or related field.
  • 6+ years in production systems engineering or large-scale infrastructure.
  • 6+ years with hardware lifecycle management, fleet automation, or data-center ops systems.

Responsibilities

  • Identify and root cause systemic issues across the server fleet to maximize uptime using telemetry.
  • Write and maintain code for diagnostic and automation tooling in Linux environments.
  • Develop diagnostic tooling requirements to enable frontline operations to repair the fleet efficiently.
  • Drive escalation to resolve tooling and hardware issues affecting fleet health.
  • Perform operational validation for new product integrations into production systems.
  • Collaborate with tooling teams to influence roadmaps from an ops perspective.
  • Analyze data to prioritize automation opportunities for repair workflows in a heterogeneous hardware fleet.
  • Build cross-functional relationships to improve data center ops consistency and efficiency.
  • Mentor engineers on fleet issue resolution and tool improvements.
  • Travel up to 25% to support global data center operations and deployments.

Skills

Automation tooling
Data analysis
Cross-functional collaboration
Problem solving

Education

Bachelor's degree in CS/CE or related field

Tools

Python
Bash
C/C++
Linux

Job description

Meta is seeking an experienced Production Systems Engineer to join Data Center Operations and optimize the server fleet at hyperscale. You will drive automation, develop diagnostic tools, and coordinate with globally distributed teams to improve uptime and efficiency.

Responsibilities include analyzing telemetry, building tooling, and mentoring peers while traveling up to 25% for site deployments and operational support.

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