Principal Software Engineer, Ozone/HDFS
hace 2 semanas
Engineering
Seniority Level:
Director
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 top companies across various industries. Powered by the open source community, Cloudera advances digital transformation for the world's largest enterprises.
Cloudera is seeking an exceptional and passionate software engineer with a strong background in distributed systems to join the Storage Engineering team focused on building Apache Ozone. The Storage team manages primary storage and storage access layers, which are core to our 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, surpassing the limitations of HDFS.
Ozone is one of the fastest-growing products within CDP in terms of customer adoption and revenue expansion. Join the team that created most of the HDFS code and make a significant impact in big data and cloud computing.
As a Principal Software Engineer, you will…
- Design and implement core features of Apache Ozone and Apache Ratis (open-source RAFT implementation)
- Contribute code and design documentation to the Apache open-source community
- Support enterprise customers managing hundreds of petabytes of big data analytics and ML/AI pipelines
- Collaborate with engineering leaders, product managers, and cross-functional teams to understand requirements, design solutions, and facilitate integration and adoption
- Lead a team of talented engineers on feature development and mentor junior engineers
- Bachelor's +10, Master's +8 years (or 5+ for PhD) of relevant industry experience
- Strong backend skills in Java or C++, with intermediate Java expertise
- Passion for programming, clean coding habits, attention to detail, and focus on quality
- Experience with large-scale distributed systems, including scaling, replication, consistency, and high availability
- Solid understanding of system software design, computer architecture, storage, networking, and IO subsystems
- Proficiency in data structures and algorithms
- Excellent communication skills
- Experience with distributed storage systems, filesystems, NoSQL, or distributed hash tables
- Performance tuning and optimization expertise
- Over 3 years of experience in systems software within the Apache Big Data ecosystem
- Open source contributions
- Experience with Hive, Pig, MapReduce, HBase, etc.
- Knowledge of storage development, RAFT, or similar consensus frameworks
- Generous PTO policy
- Support for work-life balance with Unplugged Days
- Flexible WFH policy
- Wellness programs
- Phone and Internet reimbursement
- Career development opportunities
- Comprehensive benefits and competitive packages
- Paid volunteer time
- Employee resource groups
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