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Java Support Escalation EngineerSan Jose, California, United States

Java Support Escalation Engineer

San Jose | California | United States

About MapR Technologies
Headquartered in San Jose, Calif., MapR provides the industry's only Converged Data Platform that enables customers to harness the power of big data by combining analytics in real-time to operational applications to improve business outcomes. With MapR, enterprises have a data management platform for undertaking digital transformation initiatives to achieve competitive edge. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are part of the global MapR partner ecosystem. For more information, visit

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

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