Alluxio is the developer of open source data orchestration software for the cloud. Alluxio moves data closer to big data and machine learning compute frameworks in any cloud across clusters, regions, clouds and countries, providing memory-speed data access to files and objects. Intelligent data tiering and data management deliver consistent high performance to customers in financial services, high tech, retail and telecommunications. We are in a high growth mode with a lot of opportunities, looking for career-minded, enthusiastic and creative people to join our team!
Job Summary: Provide hands-on technical support for Enterprise customer Alluxio implementations.
You will possess a strong technical skill set to troubleshoot customer deployed Alluxio implementations. You are comfortable engaging with Big Data technical teams to support their large-scale hybrid cloud and multi cloud architectures. You will work directly with customers on sophisticated deployments, have experience with Big Data on-premise and cloud implementations, and will help our customers achieve the most out of the Alluxio platform.
Responsibilities:
Provide hands-on technical support for customer Alluxio implementations
End-to-end ownership of issue initiation through to resolution with a global set of customers spanning multiple continents
Engage directly in hands-on reproduction of customer issues for diagnosis and escalation to Engineering and Product teams to ensure timely resolution of customer issues
Leverage hands-on technical skill to provide customers with resolutions/workarounds to customer queries/ issue as appropriate
Ensure that customer Service Level Agreements (SLA’s) are met for various assignments
Engage with various Big Data technologies including Spark, Presto, Hadoop/HDFS, Hive, and more
Provide best practices guidance and recommendations to Alluxio customers to ensure successful Alluxio implementations
Willing to assist the Alluxio on all manner of issues, as the situation demands
Required Skills and Experience:
3+ years of experience with major Big Data technologies and frameworks including but not limited to Spark, Hive, ZooKeeper, HBase, Presto, Hadoop, MapReduce, Tensorflow, etc.
Ability to quickly learn, adapt, and implement Open Source technologies and desire to learn new skills and techniques
Ability to work independently with limited supervision as well as contribute to team efforts is and ability to support multiple projects simultaneously and work in a fast-paced environment
Excellent verbal/written communication skills, including communicating technical issues to non-technical audiences and strong critical thinking, decision making, troubleshooting, attention to detail and problem-solving skills
Able to work under pressure with an international team to ensure the success of customers
Committed to customer success; flexible, agile, adaptive to change.
Desired Skills:
Experience with commercial Big Data platforms (Cloudera, Hortonworks, MapR)
Wide technical skillset including, but not limited to:
Unix/Linux
Big Data solutions developed in large cloud computing infrastructures such as Alibaba Cloud, Amazon Web Services, Azure Cloud, or Google Cloud
Data management, manipulation, and aggregation (relational databases, web services, Big Data)
SQL, HTTP, Java, JavaScript, JSON
Understanding of data lake approaches, industry standards and industry best practices
