Hyperscale Cloud Production Engineer

Meta; Eagle Mountain (UT); 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. This role focuses on identifying cloud automation opportunities, developing tooling, and driving operational excellence across a hyperscale fleet.

You will analyze failure data, write production-ready code, and collaborate with distributed teams to improve uptime and efficiency in our global data centers and cloud partnerships. Travel up to 25% for deployments.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7+ years in production systems engineering or large-scale cloud environments.
• 7+ years in hardware lifecycle management or fleet automation.

Responsibilities

• Identify and root cause systemic issues across the cloud server fleet to maximize uptime and utilization.
• Develop and maintain diagnostic and cloud automation tooling for production servers at hyperscale.
• Own requirements for diagnostic tooling for frontline operations to manage and repair fleets.
• Drive escalation for cloud tooling and hardware issues affecting fleet health.
• Validate and verify new cloud product integrations in production.
• Collaborate with cross-functional tooling teams to influence roadmaps.
• Perform data analysis to prioritize automation opportunities for repair workflows.
• Build relationships to improve global data center operations consistency.
• Mentor engineers on fleet issue evaluation and tool/process improvements.
• Travel up to 25% for global deployments.

Skills

Cloud awareness

Python

Bash

C/C++

Linux

Telemetry

Data analysis

Documentation

Cross-functional collaboration

Automation tooling

Education

Bachelor's degree in CS/CE or equivalent

7+ years in production systems / cloud infra

Tools

Python

Bash

C

C++

Linux tooling

Job description

Meta is seeking an experienced Cloud Production Systems Engineer to join the Data Center Operations team. This role focuses on identifying cloud automation opportunities, developing tooling, and driving operational excellence across a hyperscale fleet.

You will analyze failure data, write production-ready code, and collaborate with distributed teams to improve uptime and efficiency in our global data centers and cloud partnerships. Travel up to 25% for deployments.