Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
Cloudera is looking for an exceptional and passionate software engineer with a distributed systems background 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 (https://ozone.apache.org) 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 the Staff Software Engineer, you will:
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).
You will also 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.
This is a unique opportunity to be a part of building a brand new distributed storage system 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
Masters or Bachelors +8 years of relevant industry experience
Strong backend engineering skill set with expertise in Java.
Hands-on programmer with a good knowledge of data-structures and CS algorithms.
Experience with large-scale, distributed systems design and development with a strong understanding of scaling, replication, consistency, and high availability
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, written and communication skills.
You may also have:
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.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
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