Enterprise Systems Engineer

Directly support Reality Labs Research teams to support our mid-sized GPU cluster tailored to meet research team needs, and work closely with Enterprise Engineering to provide best-in-class infrastructure, data, and security services Reality Labs Research. Our mission requires unconventional thinking and lightning-fast, nimble solutions.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 a Systems Engineer on the Reality Labs ML Infrastructure team, 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 Reality Labs Research. We constantly review our processes, automate wherever possible, and develop our own toolchains when necessary. Join us and become part of a world-class team that allows Meta to deliver top-tier services to its employee and enables next-generation research to become reality.

Enterprise Systems Engineer Responsibilities:

• Build, scale, and secure Facebook's corporate infrastructure, focusing specifically on the Linux environment
• Combine open-source and commercial technologies to build services that will have an impact on the business
• Work in a heterogeneous environment containing diverse operating systems and applications, and make them work well together
• Apply modern engineering methodologies such as infrastructure as code, Linux container orchestration, and software-defined storage to scale Facebook's rapidly growing Enterprise infrastructure
• Find ways to leverage the scale and complexity of the larger Meta infrastructure to solve problems for Reality Labs Research customers
• Produce systems that are scalable, automated, and well-documented, and train others to take on operations

Minimum Qualifications:

• BS in Computer Science, Engineering, or a related technical discipline or equivalent experience
• 5+ years system administration experience working in a Linux environment
• 5+ years experience in shell scripting or equivalent experience
• 5+ years experience coding in at least one of the following languages: PHP, Ruby, Python, or Go
• 5+ years experience working with monitoring and configuration management tools such as Puppet and Chef
• 2+ years experience with job schedulers (Kubernetes, Slurm, etc)

Preferred Qualifications:

• Experience supporting configuration management in a multi-region environment
• Experience building services
• Experience building PaaS or internal clouds
• MS in Computer Science, Engineering, or related technical discipline

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 [email protected].

$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.