Hyperscale Cloud Automation Engineer

Meta; Montgomery (AL); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta seeks an experienced Cloud Production Systems Engineer to join the Data Center Operations team. You will analyze data to prioritize server repair automation and drive solutions via code in a hyperscale cloud environment.

You will develop diagnostic tooling, own tooling requirements for frontline teams, and collaborate with global teams to improve fleet health and efficiency. A 25% travel expectation applies.

Qualifications

• Bachelor's degree in CS, engineering, or equivalent practical experience.
• 7+ years in production systems engineering for large-scale clouds.
• 7+ years in hardware lifecycle management or fleet automation.
• Experience developing Python, Bash, PHP, C or C++ tooling for Linux.
• Experience with production systems including servers, storage, and databases.
• Ability to document designs and align stakeholders across teams.

Responsibilities

• Identify systemic issues across the cloud server fleet and drive resolutions.
• Write and maintain diagnostic and cloud automation tooling.
• Own diagnostic tooling requirements for frontline operations.
• Drive escalation for complex tooling and hardware issues.
• Validate new cloud product integrations in production.
• Collaborate with cloud tooling teams on roadmaps.
• Analyze data to prioritize automation opportunities for repair workflows.
• Build relationships and influence policies for global operations.
• Mentor engineers on fleet issues and tool improvements.
• Travel up to 25% to support global operations.

Skills

Python

Bash

PHP

C

C++

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

Meta seeks an experienced Cloud Production Systems Engineer to join the Data Center Operations team. You will analyze data to prioritize server repair automation and drive solutions via code in a hyperscale cloud environment.

You will develop diagnostic tooling, own tooling requirements for frontline teams, and collaborate with global teams to improve fleet health and efficiency. A 25% travel expectation applies.