Employer
:
META PLATFORMS, INC.
(f/k/a Facebook, Inc.)
Job Title
:
Software Engineer, Product
Job Code
:
REQ-2505-150484
Job Location
:
Menlo Park
,
California
Job Type
: Full-time, 9am - 6pm, 40 hours a week, Monday - Friday
Salary:
$263,803/year to $290,180/year + bonus + equity + benefits.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link:
https://www.metacareers.com/benefits
.
Duties
:
Develop, design, create, modify, and/or test software applications or systems for various products or software services. 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. May be assigned to specific group focused on product or infrastructure. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercise judgment within defined procedures and practices to determine appropriate action. Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
Requirements
:
Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 24 months of work experience in the job offered or in a computer-related occupation.
Requires 24 months of experience in the following:
1. C, C++, C#, or Java.
2. Python, PHP, or Haskell.
3. Software development tools: Code Editors (VIM or Emacs) and Revision Control Systems (Subversion, GIT, or Perforce).
4. Linux, Unix, or other *Nix-like OS including file manipulation and simple commands.
5. Building highly-scalable performant solutions.
6. Distributed systems including Sharding, Consistency, and Availability.
7. Algorithms.