Meta Platforms, Inc. (Meta) is looking to solve problems related to operating systems-level software, network distribution software for large distributed components, building new features, improving existing products, and handling Meta scale data storage, synchronization, and coordination of large server clusters.
Requirements
- Programming experience in either C, C++, Java, C, Hack or other relevant coding languages
- Experience building large-scale infrastructure applications or similar experience in a corporate or start-up environment
- Experience designing and completing medium to large features independently without guidance
- Python, PHP, or Haskell
- Relational databases and SQL
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
Responsibilities
- Research, design, develop, build and test operating systems-level software, and network distribution software for large distributed components that run Meta.
- Build new features and improve existing products.
- Work on problems of diverse scope and design core, backend software components.
- Handle Meta scale data storage, synchronization and coordination of large server cluster, and provide a runtime environment for front end Meta code.
- Code using primarily C/C++, Java, Python and Hack.
- Interface with other teams to incorporate their innovations and vice versa.
- Conduct design and code reviews.
Other
- Master’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and 3 years of work experience in the job offered or in a computer-related occupation
- Requires 3 years of experience in the following:
- Build highly-scalable performant solutions
- Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
- Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
