Software Engineer, Compute Engine
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Facebook is seeking an experienced Software Engineer to join the Engineering Infrastructure team to develop our large-scale data processing engines. Our analytics engines are some of the tools that enables us to make Facebook more meaningful to our users. Facebook has one of the largest data warehouses in any industry and developing at Facebook scale is a substantially different experience. We are looking for candidates who are passionate about tackling complexity and solving Big Data problems at Facebook scale. This is a full-time position based in our Menlo Park office.
- Design core, backend software components.
- Code primarily in Java.
- Conduct design and code reviews.
- Analyze and improve efficiency, scalability, and stability of various system resources.
- Interface with other teams to incorporate their innovations and vice versa.
- Work with internal customers to ensure their successful use of the compute engines.
- 6+ years relevant coding experience in C, C++, Java.
- 2+ years building large-scale data processing applications.
- 2+ years developing applications on distributed systems.
- B.S. Computer Science or related technical field.
- Hands-on development experience with one or more of Apache Spark/Hive/Giraph/Hadoop, Mesos, YARN.
- Real-world experience with Scala, Python and SQL.
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