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Role Description
At Cloudera, we empower people to transform complex data into clear and actionable insights. 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.
- Responsible for primary storage and storage access layers, which are core to the platform.
- Apache Ozone provides a massively scalable distributed object store with a distributed file system interface.
- Designed to scale to tens of billions of files and blocks, overcoming the limitations of Hadoop Distributed File System (HDFS).
- Opportunity to join the team that created and wrote most of the HDFS code and make a huge impact on the big data and cloud computing industry.
- Directly involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation).
- Regularly contribute code and design docs to the Apache open-source community.
- Support enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.
- Partner with Engineering leaders, product managers, and cross-functional teams in understanding requirements and turning them into a solid design and implementation.
- Responsible for leading a talented group of engineers working on a feature and mentoring junior engineers.
Qualifications
- Bachelor’s +10, Master’s +8 years of relevant industry experience required (5+ for PhD candidate).
- Strong backend engineering skill set with expertise in Java, or strong C++ skills, with intermediate Java expertise.
- Passionate about programming with 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.
Requirements
- 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.
Benefits
- 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.
