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Business Area:
EngineeringSeniority Level:
AssociateJob 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
#LI-ZY1
Skills Required
- BS, MS, or Ph.D. in Computer Science
- Relevant industry experience
- Strong backend engineering skills with expertise in Java, or strong C++ skills with intermediate Java skills
- Strong programming ability and knowledge of data structures and computer science algorithms
- Experience with system software design and development
- Understanding of computer architecture, storage, networking, and I/O subsystems
- Clean coding habits, attention to detail, and focus on quality
- Good oral and written communication skills
- Experience with large-scale distributed systems design and development
- Background in distributed storage systems, file systems, database storage internals, NoSQL storage, or distributed hash tables
- Experience with performance tuning and performance optimization
- Understanding of Apache Hadoop
- Recognized contributions to open-source projects
- Experience with Apache Hadoop ecosystem projects such as MapReduce, HBase, Hive, or Spark
- Understanding of Paxos, RAFT, or equivalent distributed consensus protocols
Cloudera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.
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Fair & Transparent Compensation — Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
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Healthcare Strength — Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
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Leave & Time Off Breadth — Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.
Cloudera Insights
What We Do
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.
Why Work With Us
Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including
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