- Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run applications.
- Build new features and improve existing products.
- Work on problems of diverse scope and design core, backend software components.
- Handle large scale data storage, synchronization and coordination of large server cluster, and provide a runtime environment for front end code.
- Receiving little instruction on day-to-day work, code using primarily C/C++, Java, PHP and Hack.
- Interface with other teams to incorporate their innovations and vice versa.
- Conduct design and code reviews.
- Analyze and improve efficiency, scalability, and stability of various system resources.
- Complete medium to large features (each with many tasks) independently without guidance.
- Identify and drive changes as needed for assigned codebase, product area and/or systems.
- Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in:
- Coding in one of the following industry-standard languages: C, C++, Java, or C#
- Building large-scale infrastructure applications
- Designing and completing medium to large features independently without guidance
- Experience owning a particular component, feature or system
- 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
- Distributed systems.
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