Data Center Production Operations Engineer

Meta

Bowling Green (OH)

On-site

USD 83,990 - 130,000

Full time

14 days+

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Benefits offered by this job

Equity
Benefits
Bonus

Job summary

Meta is looking for a Data Center Production Operations Engineer in Bowling Green, Ohio. This role involves supporting platform health and collaborating with cross-functional teams for hardware and automation projects.

Qualified candidates should have at least 5 years of experience in a technical IT environment, with hands-on skills in server hardware and intermediate-level Linux knowledge. The position offers a competitive salary of $83,990 to $130,000 per year, plus bonuses and equity.

Qualifications

  • 5+ years of technical IT experience in infrastructure.
  • Hands-on experience with server hardware.
  • Intermediate understanding of Linux/OS in complex environments.

Responsibilities

  • Support platform health by resolving tickets and root causes.
  • Participate in root cause analysis of technical issues.
  • Collaborate with teams on hardware and automation projects.

Skills

Linux
Server Hardware
Scripting (Bash, Python)
Data Analytics
Technical Project Management

Education

BS, BA or BEng in technical field

Tools

Data Analysis Tools
Automation Tools

Job description

Meta is seeking a forward‑thinking experienced engineer to join the Production Operations team within our Data Centers. These Data Centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast‑paced, technical environment where adaptability and flexibility will be key to their success. We seek an IT professional with advanced, hands‑on technical skills in server hardware and Linux – ideally in a Data Center environment. Having broad knowledge of server administration and participating in projects in a large‑scale distributed data center environment is a core competency of this individual. The candidate should also have working knowledge and experience in a few of the following core areas: Hardware repair, OS management, Tooling and Automation, Networking, or Technical Project Management.

Data Center Production Operations Engineer Responsibilities:
  • Support platform health by successfully resolving and closing tickets, while addressing the overall issue (i.e. addressing root cause) including, but not limited to, remote troubleshooting and physical inspection of services in data halls.
  • Participate in deep dives and root cause analysis of highly technical issues within the data center, ranging from automated tooling to hardware failures and network issues.
  • Collaborate with cross‑functional teams on projects and initiatives related to topics such as process, hardware and automation.
  • Point of contact for the introduction of new platforms and hardware to the site, in collaboration with partners and global resources, accelerating the time it takes to bring these products to sustained mass production.
  • Use tools and data analysis effectively to identify issues. Take actions to communicate with all stakeholders appropriately and manage or elevate as needed.
  • Identify corrective actions of hardware issues, work with internal teams and vendors.
  • Influence future design changes to ensure ease of serviceability.
  • Solve systemic hardware and/or software issues at scale using scripting, automation, and tooling to drive global resolution.
  • Continuously evaluate and identify areas for improvement in processes, tools, and systems to optimize efficiency and quality of repairs.
  • Use data analytics to drive maximum server up‑time and utilization rates, understanding hardware failure rates and service level agreements.
  • Support and train team members to evaluate and identify better ways to resolve issues, and define updates to tools and processes.
  • Provide engineering support and be a go‑to technical resource for the team, leadership, and cross‑functional teams in operating and maintaining data center servers.
  • Maintain and update documentation i.e. 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% of the time.
Minimum Qualifications:
  • BS, BA or BEng in technical field or commensurate experience.
  • 5+ years of technical IT experience within an infrastructure environment, in a role such as Systems Administrator, DevOps Engineer, or Site Reliability Engineer.
  • Intermediate‑level understanding in Linux (or equivalent OS) in a complex IT environment with the ability to triage, debug, and troubleshoot server issues.
  • Hands‑on experience and knowledge of server hardware and components, including storage.
  • Intermediate‑level knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network.
  • Experience managing technical issues and driving to the root cause.
  • Experience participating in technical projects related to areas such as process improvement, technology, and/or automation.
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience.
  • Intermediate‑level knowledge of technologies such as HTTP, DNS, RAID, and DHCP.
  • Experience in providing technical guidance to external vendors.
  • Experience in debugging, modifying and developing commonly used scripting or programming languages in at least one of these languages: Bash, PHP, Python, SQL, Rust, Go or Perl.
  • Knowledge of out‑of‑band/lights‑out server communication methods, such as IPMI and serial console.
  • Experience using data and metrics to drive decisions.
Preferred Qualifications:
  • Experience in fostering growth in others, and driving influence across all organizational levels.
  • Experience in a large‑scale data center environment.
  • Experience with large‑scale AI implementations.
  • Six Sigma knowledge/certification.
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$83,990/year to $130,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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