Software Engineer II : Cloudera Object Storage - Powered by Apache Ozone
6000 - 10000 SGDCloudera
Cloudera is looking for an exceptional and passionate software engineer to join the Storage Engineering team focused on building Apache Ozone. The Storage team is responsible for the primary storage and storage access layers which are core to the Cloudera Data Platform. Apache Ozone () is an open source project purposed to build a massively scalable distributed object store. Ozone is designed to scale to thousands of nodes, tens of billions of objects and overcome the limitations of the Hadoop Distributed File System (HDFS).
As a Software Engineer II : Cloudera Object Storage - Powered by Apache Ozone, you will:
Be directly involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation).
Contribute to HDFS; the development of HDFS which is one of the most widely deployed distributed storage systems in the world with over a thousand Cloudera customers.
Get a unique opportunity to be a part of building a disruptor in the distributed storage space and have a huge impact on the big data and cloud computing industry.
We’re excited about you if you have:
BS, MS, or Ph.D. in Computer Science
Relevant industry experience
Strong backend engineering skill set with expertise in Java. Alternatively strong C++ skills with intermediate Java skills.
Hands-on programmer with a good knowledge of data-structures and CS algorithms.
Experience with system software design and development with an understanding of computer architecture, storage, network, and IO subsystems
Clean coding habits, attention to detail, and focus on quality
Good oral and written communication
You may also have:
Experience with large-scale, distributed systems design and development with an understanding of scaling, replication, consistency, and high availability
Background in a distributed storage system including file systems, database storage internals, no-sql storage or distributed hash tables
Background in performance tuning, identifying performance bottlenecks, and implementing performance optimizations
Good understanding of Apache Hadoop
Recognized contributions to open source projects
Experience using projects in the Apache Hadoop ecosystem such as MapReduce, HBase, Hive, Spark etc. is a big plus
Understanding of Paxos, RAFT, or equivalent distributed consensus protocols
18000 - 20000 SGD
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