This role has closed 3w ago. It is no longer on Meta's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

Verified by our engine · Posted 1mo ago

Meta

Data Center Production Operations Engineer

Meta · Data Center, Data Center Operations

Ireland

Mid-level

Data centreBash / ShellPython

Last seen 3w ago

Posted
1mo ago

Posted on 14 September 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Meta's open roles or the similar live roles below.

See Meta's open roles

Meta is seeking a Data Center Production Operations Engineer to support the reliability, efficiency, and scalability of our global data center infrastructure. In this role, you will be responsible for the day-to-day operational health of server fleets and production systems, working at the intersection of hardware lifecycle management, systems troubleshooting, and operational process improvement. You will partner closely with hardware engineering, capacity planning, and infrastructure teams to ensure Meta's data centers operate at peak performance, directly enabling the products and services that connect billions of people worldwide.Responsibilities

Monitor and maintain the operational health of large-scale server fleets and production infrastructure across data center environments

Diagnose and resolve hardware and systems failures, coordinating with engineering teams to drive root cause analysis and implement corrective actions

Execute and refine server deployment, decommissioning, and lifecycle management processes to support capacity and reliability goals

Develop and maintain operational runbooks, escalation procedures, and documentation to standardize production operations workflows

Collaborate with hardware engineering and capacity planning teams to identify systemic issues and propose infrastructure improvements

Track and analyze operational metrics and failure trends to surface insights that improve fleet reliability and reduce mean time to resolution

Support the qualification and rollout of new server hardware generations by validating operational readiness and identifying deployment risks

Partner with cross-functional teams including network engineering, facilities, and software infrastructure to resolve complex production incidents

Identify opportunities to automate repetitive operational tasks and contribute to tooling improvements that increase operational efficiency

Provide technical guidance to peers on production operations best practices, hardware troubleshooting methodologies, and process standards

Minimum Qualifications

2+ years of experience in data center operations, production operations, or systems administration in a large-scale infrastructure environment

Experience troubleshooting server hardware components including CPUs, memory, storage, and networking hardware in a production setting

Experience developing or improving operational processes, runbooks, or standard operating procedures for data center or infrastructure teams

Experience analyzing operational data or failure metrics to identify trends and drive reliability improvements

Experience collaborating with cross-functional engineering teams to resolve production incidents and implement systemic fixes

Preferred Qualifications

Experience supporting hardware qualification or new server platform bring-up in a data center production environment

Experience with fleet management tooling, asset tracking systems, or infrastructure monitoring platforms at scale

Familiarity with scripting languages such as Python or Bash for automating operational workflows and data analysis tasks

Background in capacity planning, hardware lifecycle management, or server deployment operations for hyperscale data centers

About Meta

Meta concentrates its European engineering in Dublin, London and Paris, working on infrastructure, AI and core product. Headcount has been volatile since 2022, so treat the size of the board as a snapshot rather than a trend.