Position:  Sr. Java - Apache Open Source Software Developer
Location:  San Jose, CA
Job Id:  149
# of Openings:   1

Apache/Hadoop Engineer

We include many Apache Projects (Hbase, Hive, Pig, Oozie, Flume, Hue and others) into our Hadoop Distribution. We are looking for strong engineers to work within dedicated team and an awesome community to bring a value add to Open Source projects. You will be able to put your innovative ideas within just any Open Source project into action — all sponsored by MapR Technologies, a leading provider of Hadoop.


The cool stuff you get to do: 
  • Interesting deep-dive technical challenges
  • Mentally engaging, invested coworkers
  • Build or hone skills working with leading big data technologies like Hbase, Hive, Pig, Oozie, Flume, Sqoop, Mahout, Hue, Hadoop, Zookeeper and more.
  • Become a contributor and potentially committer of an important open source Apache project
  • See your innovative ideas be used by variety of companies and projects
  • Open source job protection and security
  • Quiet time for technical research
  • Ability to talk to and show anybody what you’re working on (including going to and presenting at many technical conferences--as you desire)
  • Upside and flexibility of a startup with stability of a mid-stage company

What you need to have to succeed:
  • Strong programming experience 
  • 5,000+ hours of experience programming complex systems in Java or C++
  • Familiarity with Open Source community development and previous experience contributing to any Apache Open Source project
  • Strong troubleshooting skills

The stuff that would be nice to have: 
  • Being contributor or (more desirable) committer to at least one of the listed Apache Open Source projects
  • Experience with Python is highly desirable
  • Understanding of Maven and Ant is a plus 


About MapR Technologies: 

MapR Technologies provides a leading distribution for Hadoop. MapR’s Hadoop stack combines optimized versions of open source technologies including Apache HBase, Hive, Pig, and MapReduce with a powerful data management layer and enterprise reliability features to power companies’ Big Data analytical needs. Founded in 2009, MapR is well funded by leading VCs, already has substantial revenue and carries an enviable customer base that includes leading Fortune 100 companies as well as top technology companies.

MapR is an equal opportunity employer.


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