Meta is seeking talented engineers to join their teams in building cutting-edge products that connect billions of people around the world. The goal is to advance the way people connect globally by working on complex technical problems, building new features, and improving existing products across various platforms.
Requirements
- 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Experience building maintainable and testable code bases, including API design and unit testing techniques
- Exposure to architectural patterns of large scale software applications
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Experience with scripting languages such as Python, Javascript or Hack
- Experience in programming languages such as C, C++, Java, Swift, or Kotlin
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Develop reusable software components for interfacing with back-end platforms
- Analyze and optimize code for quality, efficiency, and performance
- Lead complex technical or product efforts and provide technical guidance to peers
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues
Other
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Experience completing projects at large scope
- Experience as an owner of a particular component, feature or system
- 1+ years of experience identifying, designing and completing medium to large features independently without guidance
