Data Center Production & Automation Engineer

Richmond (VA)

On-site

USD 84,000 - 130,000

Full time

14 days+

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Job summary

Meta is seeking a forward-thinking Production Operations Engineer to join our Data Center team in the Richmond, VA area. The role focuses on hardware, Linux, and automation to keep our global data centers running with high uptime and reliability.

You will work across cross-functional teams on live incidents, root cause analysis, and scalable improvements. You should have hands-on experience with server hardware, Linux administration, scripting, and an ability to communicate clearly with peers

Qualifications

BS, BA or BEng in technical field or commensurate experience.
5+ years of technical IT experience within an infrastructure environment, in roles such as Systems Administrator, DevOps Engineer, or Site Reliability Engineer.
Intermediate-level understanding in Linux (or equivalent OS) in a complex IT environment with triage, debugging, and troubleshooting server issues.
Hands-on experience and knowledge of server hardware and components, including storage.
Intermediate-level knowledge of interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network.
Experience managing technical issues and driving to root cause.
Experience participating in technical projects related to process improvement, technology, and/or automation.
Ability to communicate effectively to audience.
Intermediate-level knowledge of HTTP, DNS, RAID, and DHCP.
Experience in providing technical guidance to external vendors.
Experience in editing and developing scripting languages (Bash, Python, SQL, Go, or Perl).
Knowledge of IPMI and serial console for out-of-band management.
Experience using data and metrics to drive decisions.

Responsibilities

Support platform health by resolving tickets and addressing root cause, including remote troubleshooting and physical inspection in data halls.
Participate in deep dives and root cause analyses of technical issues in the data center, from tooling to hardware failures and network issues.
Collaborate with cross-functional teams on process, hardware, and automation projects.
Be the point of contact for introducing new platforms and hardware, accelerating time to mass production.
Use tools and data analytics to identify issues and communicate with stakeholders; manage or escalate as needed.
Identify corrective actions for hardware issues and work with internal teams and vendors.
Influence future design changes to improve serviceability.
Solve systemic hardware and/or software issues at scale using scripting, automation, and tooling to drive global resolution.
Continuously evaluate and identify process/tool/systems improvements to optimize efficiency and repair quality.
Use data analytics to drive server uptime and understand failure rates and SLAs.
Support and train team members to resolve issues and update tools and processes.
Provide engineering support and be a go-to technical resource for the team, leadership, and cross-functional teams.
Maintain and update documentation such as procedures, runbooks and guides.
Build cross-functional relationships and influence policies and procedures that improve global data center operations.
Participate in 24/7 on-call rotation.
Ability to travel up to 15%.