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Enterprise Infrastructure Engineer - Enterprise Storage

Meta

Enterprise Infrastructure Engineer - Enterprise Storage

Meta

Fremont, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$137,000 - $137,000

Benefits & Perks

Professional development budget

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Learning

Equity

Healthcare

Parental Leave

Required Skills

Python

TypeScript

PostgreSQL

As one of the leading engineering teams in the enterprise world, our goal is to provide a solid foundation and platform for Meta businesses to build services and run workloads. As an Enterprise Infrastructure Engineer, you will build the infrastructure for our high traffic, high visibility services. You will provide operational support for critical services that enable connected experiences found across Meta. We constantly review our processes, automate wherever possible, and develop our own toolchains when necessary. Join us and become part of a team that allows Meta to deliver services to its employees.

Enterprise Infrastructure Engineer

Enterprise Storage Responsibilities:

  • Build, scale, and secure the Storage environment within Meta's Enterprise Infrastructure, a heterogeneous environment containing many different operating systems and applications
  • Apply modern engineering methodologies such as Infrastructure-as-Code, container orchestration, and software-defined storage
  • Design & implement systems that are scalable, automated, monitored, and well-documented
  • Find ways to leverage the scale and complexity of the larger Meta production infrastructure to solve problems for enterprise customers
  • Lead incident root cause analysis through multiple infrastructure layers (compute, storage, network) and act as a final escalation point
  • Provide guidance to other engineers on best practices to build mature services which are highly available, reliable, secure, and scalable
  • Help others around you move faster by identifying issues and driving them to resolution

Minimum Qualifications:

  • BS or MS in Computer Science, Engineering, or a related technical discipline (or equivalent experience)
  • 3+ years of experience in systems engineering
  • 3+ years of experience automating the management of infrastructure and services
  • 3+ years of experience working with monitoring and configuration management tools such as Chef, Ansible, Puppet, Saltstack, etc
  • 3+ years of experience coding in at least one of the following languages: Python, Ruby, PHP, Rust, or Go
  • Thorough understanding of operating system internals
  • Experience of consistently working under your own initiative, seeking feedback and input where appropriate

Preferred Qualifications:

  • Prior experience supporting configuration management in a multi-region environment
  • Prior experience building services
  • Prior experience building PaaS or internal clouds

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@fb.com.

$137,000/year to $199,000/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

Meta

Public

A 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