Hyperscale Cloud Automation Engineer

Meta; DeKalb (IL); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta is seeking an experienced Cloud Production Systems Engineer to join the Data Center Operations team. You will identify systemic issues across the cloud server fleet, develop diagnostic tooling, and drive automation for production servers at hyperscale.

Ideal candidates have 7+ years in production systems or related fields, strong Python/C/C++ scripting, and proven ability to collaborate with globally distributed teams while communicating complex tech clearly.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7+ years of experience in production systems engineering or similar.
• Experience with automation tooling and diagnostics for Linux-based production environments.
• Experience with hardware lifecycle management, fleet automation, or cloud data center operations.

Responsibilities

• Identify and root cause systemic issues across the cloud server fleet and drive resolutions to maximize uptime.
• Write, review, and maintain code for diagnostic and cloud automation tooling.
• Own and develop diagnostic tooling requirements for frontline operations teams.
• Drive escalation for Data Center Operations to resolve complex tooling and hardware issues.
• Validate new cloud product integrations in production environments.
• Collaborate with cross-functional cloud tooling teams to influence roadmaps.
• Analyze data to prioritize cloud automation opportunities for server repair workflows.
• Build relationships to improve global cloud data center operations.
• Mentor engineers on fleet issues and tooling improvements.
• Travel up to 25% to support global operations.

Skills

Python

Bash

C

C++

Linux

Documentation

Cloud tooling

Education

Bachelor's degree in CS/CE or related field

Tools

Diagnostic tooling

Telemetry analysis

Cloud automation tooling

Job description

Meta is seeking an experienced Cloud Production Systems Engineer to join the Data Center Operations team. You will identify systemic issues across the cloud server fleet, develop diagnostic tooling, and drive automation for production servers at hyperscale.

Ideal candidates have 7+ years in production systems or related fields, strong Python/C/C++ scripting, and proven ability to collaborate with globally distributed teams while communicating complex tech clearly.