Production Engineer

MetaMenlo Park, CA
12d

About The Position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

Requirements

  • Master’s degree (or foreign equivalent) in Computer Science, Electrical Engineering, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
  • Requires completion of a university-level course, research project, internship, or thesis in the following:
  • UNIX or Linux operating system fundamentals
  • TCP/IP network fundamentals
  • Coding in at least one of the following higher-level programming languages: PHP, Python, C++, or Java
  • Internet service architectures (such as load balancing, LAMP, or CDN’s)
  • Relational Databases including MySQL
  • Network protocols including at least one of the following: NFS, DHCP, NTP, SSH, DNS, or SNMP
  • Storage Systems including NFS
  • Network Management tools like DHCP, NTP, SSH, DNS, or SNMP
  • Experience utilizing high performance query engines (Presto or Spark) for big data

Responsibilities

  • Develop, design, create, modify, and/or test software services to ensure optimal performance and capacity for growth.
  • Own back-end data warehouse services, front-end services like Messenger and Newsfeed, and infrastructure components to ensure services run without incident.
  • Write and review code, develop documentation and capacity plans, and debug the problems in real time in highly complex software systems.
  • Serve as an escalation contact for service incidents.
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service