MapR is hiring a

Java Support Escalation Engineer

San Jose, United States
Full-Time
MapR Technologies, Inc., is a visionary Silicon Valley enterprise software company that pioneered one platform for all data in every cloud.  This approach is the industry’s first modern data system.  At the core is the MapR Converged Data Platform that enables simultaneous analytics and applications as data happens with speed, scale and reliability.  Forward leaning companies such as SAP, Cisco, United Healthcare and many more are able to create new, intelligent and modern apps to outperform the competition.  Limitless possibilities happen with MapR Data Technologies.  Learn more:  www.mapr.com
 
MapR Technologies is an equal opportunity employer.
 


MapR delivers on the promise of Hadoop, making managing and analyzing Big Data a reality for more business users. The award-winning MapR Distribution brings unprecedented dependability, speed and ease-of-use to Hadoop. Combined with data protection and business continuity, MapR enables customers to harness the power of Big Data analytics. 

Key Responsibilities:
  • Sustaining critical components of MapR Hadoop platform and other ecosystem projects
  • Analyze complex customer reported issues that require strong analytical and technical skills
  • Resolve issues that may require producing enterprise-ready patches or hotfixes
  • Troubleshoot performance, scalability bottlenecks and suggest solutions
  • Work with support/QA/Engineering teams through the entire lifecycle of product/patch releases
  • Review code, suggest suitable API to customers and write technical articles/blogs as a part of Developer Support
  • Assist in developing support tools for business integration and for monitoring purpose

Required Experience:
  • Strong Java background in sustaining/support/troubleshooting enterprise-grade systems software
  • 2+ years of solid experience in Java / J2EE technologies
  • Experience in contributing/sustaining the Apache Hadoop OSS is a huge plus.
  • Experience in building and troubleshooting multi-threaded scalable and distributed systems
  • Competent working in Linux development environment and troubleshooting issues
  • Self-motivated, independent and high-performance individual. Passionate about learning new technologies
Nice to have:
  • Proficiency with Big Data processing technologies (HBase, Cassandra, other NoSQL solutions)
  • Familiarity with Hadoop stack, such as MapReduce, YARN, HDFS, Hive, Pig, Oozie, Flume, Sqoop, Zookeeper
  • Bachelor's in computer science or equivalent, Masters preferred