28 May 2011

Full-Time Software Engineer, Technical Operations

Quantcast – Posted by nosqljobsSan Francisco, California, United States

NOTE: This job listing has expired and may no longer be relevant!

Job Description

The role of the Software Engineer in Technical Operations is to be responsible for Quantcast’s large-scale, mission critical data analysis systems. Ensuring results are available 24/7, the Technical Operations Software Engineer will work on complex data problems and keep very large-scale production systems humming along at all times in the face of constantly growing data sets.
The ideal candidate will be intensely curious about both the larger picture of how production systems interrelate as well as being able to dig in to understand the individual components and provide creative improvements to the overall system and implementations.

  • Maintaining and scaling existing data flows and analysis jobs running on Quantcast’s 1000+ node hadoop cluster
  • Responding to and correcting process failures
  • Developing tools in Java, ruby or other scripting languages that improve the cluster’s use and operations
  • Develop tools and processes to improve the efficiency of internal business users and help them resolve technical problems pertaining to our production systems
  •  Being periodically on call


  • BS in Engineering or equivalent; Graduate degree preferred
  • Capable software engineer, comfortable with Java or C++, automation, and experience with Perl/Python/Ruby.
  • Experience with production systems
  • Experience in Linux system administration
  • Understanding of databases (MySQL, PostgreSQL) and SQL is a must; data analysis skills are a plus
  • Experience with Hadoop is a major plus
  • Experience with trafficking or technically configuring online advertising a plus
  • Detail-oriented personality
  • Good English communication skills
  • Likes to own things, and drives resolution to projects

How to Apply

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Job Categories: Engineering. Job Types: Full-Time. Job Tags: hadoop, java, mysql, perl, postgresql, python, and ruby.

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