Site Reliability Engineer - Data Streaming & Big Data

You want to be part of something big and have a real impact?
Join a diverse global team and play a central role in building the next generation of Internet Services that touch hundreds of millions of users across the globe every day.

Our client's Cloud Platform Department manages a large and continuously growing Data Streaming Platform built on Kafka and ELK stack (Elastichseararch, LogStash, and Kibana).

What you will be doing as a Site Reliability Engineer (specializing in Big Data technologies):

• Contributing to the design, development and tuning of Data Streaming Platform.
• Testing and bringing into production new solutions and functions for Data Streaming Platform.
• Help to maintain stability of the Data Streaming Platform
• Trouble shooting in relation to the Data Streaming Platform.
• Automating everything; always.
• Providing best-in-class user support for Data Streaming Platform.

Minimum Qualifications:

• 6+ years of professional experience in the field of Information Technology
• 2+ years of hands-on experience with Linux and shell scripting
• 2+ years of programming experience using Java, Scala, or Python
• Understanding of and Hands-on experience for Data Streaming Platform architecture & components.
• Experience with automation tools such as Chef, Ruby, Puppet, or Ansible.
• Experience with DevOps tools and technology, such as Gradle, Maven, Jenkins, Git, IntelliJ, or Eclipse.

  Preferred Qualifications:

• Experience as an Administrator of Data Streaming Platform (Kafka, Nifi, ELK, etc.)
• Knowledge of and/or experience with Docker and/or Kubernetes;
• Experience with streaming frameworks such as SparkStreaming and/or Flink
• Experience with a major Hadoop distribution (HDFS, Hive/HiveLLAP, MapReduce, Spark on Yarn)
• Experience working with a BI Platform
• Experience with KVS, such as HBase, Couchbase, Cassandra, Redis 

※　Eligible applicants should be based in Japan or eligible to work in Japan and able to be on the ground in Tokyo for the duration of the assignment.