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Sr Distributed Systems Engineer

Santa Clara, CA
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Responsibilities and Daily Duties:

Acting as a distributed system engineer in handling and evaluating high priority issues on MapR filesystem, security, no SQL database and MapR messaging (30%):
  • Installing and configuring MapR filesystem for customers, including sizing the nodes
  • Advising how to setup volumes, and data ingestion policies
  • Troubleshooting skills that are Linux based related to disk, CPU usage and memory
  • Using scripting and pattern matching tools and setting up local environment to reproduce customer issues for root cause
  • Query engines and optimization specific to big data tables and files
  • Setting up either Kerberos or MapR security on customer environment for authentication and authorization.
  • Ensuring security tickets are issued and configured properly
Evaluate customers distributed environment and suggest methods to upgrade or implement a revised solution (20%):
  • Interacting with various customer teams. Evaluating customer process for data needs and evaluating their tools and management of cluster
  • Evaluating all third-party applications used by the customer and how they are integrated with MapR software. Working with vendors and Engineers to certify newly released software and ensure that features are backward compatible
  • Ensuring and validating customer test plans and test cases before upgrading and ensuring new release is tested in staged environment
  • Utilizing strong analytical skills to dig deep into the problem solving
  • Managing comprehensive notes, timely updates to the customer and providing analysis of log files are a requirement
Troubleshoot open source Hadoop components for data processing, data ingestion, and analytics (30%):
  • Maintaining a constant vigil on data ingestion and data processing software
  • Understanding MR and YARN and analyzing any job failures by looking at logs and quickly suggesting venues for restoration of the job
  • Familiarity with hive, pig scripts, sqoop, and hbase are helpful
  • Communicating technical concepts clearly and effectively on query and optimization for analytics
  • Analyzing slow java programs or failures related to JVM using j-stack and j-map to see which processes or threads are either blocked or slow and suggest a corrective action
  • Using tools like Valgrind to find memory leak issues and fix issues reported by customer
Coordinating with Engineering and other internal teams for escalations and create knowledge articles (20%):
  • Coordinating with Engineering on product defects, testing and patch delivery to customers
  • Maintaining all communication and ownership of cases opened by customer and bringing in sales engineers for enhancements and internally working with backline to shadow issues
  • Working with consulting and accounting teams to identify opportunities for MapR solutions to make sure a high level of customer satisfaction is maintained
  • Capturing best practices as part of engagement and writes knowledge articles for self-service
Skills/Tools/Technologies Required:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering or a related field
  • Tools: tcpdump, netstat, SAR, free, htop, IOStat, meminfo, jstack, gdb, vmstat
  • Programming languages: Java, python, SQL, sparkSQL, scala and C/C++
  • Technologies: Hadoop, Sqoop, flume, hive, HBase, hiveserver 2, hdfs, MySQL, spark, tez, and oozie
  • Knowledge of Linux operating system administration and troubleshooting
  • Familiarity with MapR build tools such as fsck, gfsck, guts and analyzing core dumps
  • Java/C++ development experience is a plus
 About MapR Technologies, Inc.:
MapR Technologies, provider of the industry's next generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR cosystem. For more information, visit

MapR Technologies is an equal opportunity employer

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Kiki Beach Kurvin
Recruiting Manager
Google Voice & Text: 415-890-6565
Twitter: @athire @text4hire @kikibeach

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