Staff Software Engineer, Storage (Java or C++))

The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance. 

Cloudera is looking for an exceptional and passionate software engineer with a strong distributed systems background to join the Storage Engineering team focused on building Apache Ozone. The Storage team is responsible for primary storage and storage access layers, which are core to the platform. They created and wrote most of the HDFS code and made a huge impact on the big data and cloud computing industry. Apache Ozone (Apache Ozone) provides a massively scalable distributed object store with a distributed file system interface. Ozone is designed to scale to tens of billions of files and blocks, and overcome the limitations of Hadoop Distributed File System (HDFS), namely, millions of small files and managing a huge number of datanodes. 

Ozone is one of the fastest-growing products inside CDP in terms of customer adoption and expansion revenue.

As a 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 regularly contribute code and design docs to the Apache open-source community.

• As part of storage engineering, you will support enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines. 

• You will partner with product managers and cross-functional teams as a part of the Cloudera Data Platform ecosystem in understanding requirements and turning them into a solid design and implementation, and facilitating integration and adoption.

• You will be responsible for leading and collaborating with a talented group of engineers working on a feature and mentoring junior engineers.

We are excited if you have…

• Bachelor's +6, Master's 4-6 years of relevant industry experience required

• Strong backend engineering skill set with expertise in Java, or strong C++ skills, with intermediate Java expertise

• Passionate about programming. Clean coding habits, attention to detail, and focus on quality

• Experience with large-scale, distributed systems design and development with a strong understanding of scaling, replication, consistency, and high availability

• Solid experience with system software design and development with a strong understanding of computer architecture, storage, network, and IO subsystems, and distributed systems

• Hands-on programmer with strong data structures and algorithms skillset

• Strong oral and written communication skills

You may also have..

• Strong background in a distributed storage system, including file systems, database storage internals, NoSQL storage, or distributed hash tables

• Strong background in performance tuning, identifying performance bottlenecks, and implementing performance optimizations

• Strong understanding of the Apache Big Data ecosystem and over 3+ years of experience in systems software, including file systems

• Recognized contributions to open source projects

• Experience using projects such as Hive, Pig, MapReduce, HBase, etc., is a big plus

• Good Understanding of storage development, RAFT replication framework, or equivalent distributed consensus frameworks

Why this role matters: 

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.