Jobs
Benefits & Perks
•401(k) matching
•Professional development budget
•Parental leave
•Comprehensive health, dental, and vision insurance
•Learning
•Parental Leave
•Healthcare
Required Skills
Node.js
Python
PostgreSQL
CO Salary Range: USD 162,000.00 - 227,000.00 per year
Meta is looking for a talented, highly motivated engineer to join the Edge and Network Services team. This team is responsible for processes and systems for deploying and supporting one of the world's largest, most complex, and robust networks. Automation is the key to meeting our demands; you will be responsible for executing on our vision for designing, deploying, and operating our networks supporting AI/ML applications . As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking at Meta.
Network Engineer, Foundation Services Automation Responsibilities:
- Drive initiatives to enhance efficiency through tooling improvements in the pre-deployment domain for Backbone, Edge, and Optical
- Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network pre-deployment activities
- Automation and integration into existing tooling eco-system which involves planning and pre-deployment activities (such as design bootstrapping, EDP generation, BOM creation etc)
- Proactively find gaps that impact multiple teams/orgs, come up with the execution plan, drive the project, and influence other teams to implement initiatives
- Work with partner teams, understand their challenges, help them find a solution natively or lead effort working with cross functional teams to deliver systems/platforms/tooling
- Work with developers and program managers to design and prioritize tooling enhancements and fixes
- Help with roadmapping to identify & address key challenges
- Help with recruiting and onboarding of new members to the team. Help them by mentoring and assuring their quick ramp up within our environment
- Perform detailed troubleshooting and engage with cross functional teams to fix system/tooling issues
- Drive requirements with cross functional teams to align our internal tooling efforts
- Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 10+ years of experience Automation experience in the Networking domain in large scale networks
- Knowledge and experience with Optical, Layer 2, and Layer 3 technologies
- Knowledge and experience in Python
- Knowledge and experience with Rest APIs
- Knowledge of Linux OS/networking
- Experience with network devices (routers, switches, load balancers)
- Experience working within a global team in a fast-paced and dynamic environment with limited supervision
Preferred Qualifications:
- MS or Graduate work experience in Computer Science, Computer Engineering, or a related technical discipline
- Experience with developing or operating distributed systems at scale
- Knowledge of technology-agnostic approach to engineering
- Knowledge and experience in C, C++, Go or Rust
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.
$162,000/year to $227,000/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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