Jobs
Benefits & Perks
•Competitive salary and equity package
•Team events and activities
•Generous paid time off and holidays
•Parental leave
•Equity
•Parental Leave
Required Skills
PostgreSQL
Python
JavaScript
The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before Site Ops. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs.
Global Infrastructure Engineer Responsibilities:
- Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams
- Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure
- Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains
- Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations
- Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these
- Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer
- Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners
- Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project
- Provide data supplied narratives and ensure a focus on continuous improvement
- Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations
- Approximately 20% - 30% travel
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure
- Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries
- 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute
- Experience building globally scalable solutions and translating global strategic initiatives into local executable projects
- Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems
- Experience building, operating, and scaling with Linux or Unix Operating systems
- Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams
- Experience with Data Center Design and Expansion
Preferred Qualifications:
- Extensive knowledge of storage and AI/ML related services and the hardware that supports them
- Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl
- Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management
- Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure
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 Whats App 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.
$208,000/year to $289,000/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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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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