Jobs

Production Network Engineer, Infrastructure Automation and Tooling, Fullstack
Menlo Park, CA
·
On-site
·
Full-time
·
1mo ago
Compensation
$135,000 - $135,000
Benefits & Perks
•Professional development budget
•Competitive salary and equity package
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Learning
•Equity
•Healthcare
Required Skills
Python
React
JavaScript
Meta is looking for an engineer to join the Production Services Automation Team (PSAT) under the Infra Data Center (IDC) organization at Meta. The IDC org is responsible 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 conceiving, developing and launching tools to support network deployment, maintenance, and scale of data center and edge infrastructure. As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking at Meta.
Production Network Engineer, Infrastructure Automation and Tooling, Fullstack Responsibilities:
- Conceptualize, design, build, and maintain internal tools (Web, Mobile, etc) to support network designing, planning, deployment, operation, etc
- Drive requirements with engineering teams, vendors and third parties to align our internal tooling efforts
- Collaborate with engineering teams to implement, verify and iterate on internal customer facing products, identify and resolve performance and user interface scalability issues
- Architect efficient and reusable front-end systems that drive complex web applications
- Help scale and optimize our overall network capacity by developing cutting edge software solutions which improve efficiency and bring automation to our data centers
- Proactively find gaps that impact multiple teams/orgs, come up with the execution plan and drive the project and influence other teams to reach there
- Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them
- Lead/mentor other folks within and outside of the team. Work with other team members from partner teams, understand their challenges, define and deliver automation solutions to address 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
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 7+ years of experience building software for network infrastructure
- Experience with programming languages (Javascript, PHP, Python, Go, or C++)
- Experience with Web technologies (React.JS, HTML, CSS)
- Experience with fullstack development (SQL, PHP/Hack, GraphQL)
- Knowledge of architectural design for frontend applications and fullstack systems
- Experience debugging issues, benchmarking performance, and implementing automated testing
- Proven experience translating business requirements into software requirements and explaining the system design
- Knowledge of technology-agnostic approach to engineering
Preferred Qualifications:
- Knowledge of PHP, Javascript, Python, React, GraphQL
- Experience leading and contributing to large cross-functional projects in a global environment
- Experience working on a global team in a matrixed environment with limited supervision
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.
$135,000/year to $191,000/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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