Software Engineer – System Responsibilities

Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run Facebook.
Build new features and improve existing products.
Work on problems of moderate scope, push code, drive the development of the systems behind Facebook's products, create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe.
Develop a strong understanding of relevant product area, codebase, and/or systems.
Demonstrate proficiency in data analysis, programming and software engineering.
Produce high quality code with good test coverage, using modern abstractions and frameworks.
Receiving general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem-solving skills.
Master Facebook’s development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
Actively seek and give feedback in alignment with Facebook’s Performance Philosophy.

Minimum Qualifications

Master’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires completion of a university-level course, research project, thesis, or internship involving the following
Coding in an industry-standard language (e.g. Java, Python, C++, or JavaScript)
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
Core web technologies: HTML, CSS, or JavaScript
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
Distributed systems

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