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Staff Software Engineer, Storage (Java or C++) 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. Business Area Engineering Seniority Level Mid-Senior level Job Description Cloudera’s 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. The Storage Engineering team is focused on building Apache Ozone, a massively scalable distributed object store with a distributed file system interface designed to scale to tens of billions of files and blocks. Responsibilities Design and implement core feature set of Apache Ozone and Apache Ratis (open‑source RAFT implementation). Contribute code and design documents to the Apache open‑source community. Support enterprise customers running 100s of petabytes‑scale big data analytics and ML/AI pipelines. Partner with product managers and cross‑functional teams to understand requirements, turn them into solid designs, and facilitate integration and adoption. Lead and mentor a talented group of engineers working on a feature. Qualifications Bachelor’s degree +6, Master’s 4–6 years of relevant industry experience. 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, understanding scaling, replication, consistency, and high availability. Solid experience with system software design and end‑to‑end knowledge of computer architecture, storage, network, and IO subsystems. Strong data structures and algorithms skillset. Excellent oral and written communication skills. Preferred Background in a distributed storage system (file systems, database storage internals, NoSQL storage, or distributed hash tables). Background in performance tuning, identifying bottlenecks and implementing optimizations. Understanding of the Apache Big Data ecosystem and 3+ years experience in systems software including file systems. Recognized contributions to open source projects. Experience with Hive, Pig, MapReduce, HBase, etc. Understanding of 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 EEO/VEVRAA #J-18808-Ljbffr
