Software Engineer II : Cloudera Object Storage - Powered by Apache Ozone

Business Area:

Engineering

Seniority Level:

Associate

Job 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 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 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

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