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Design and implement distributed data systems for Apache Hudi and Onehouse’s managed data lakehouse. Responsibilities include developing concurrency controls, transactional capabilities, indexing schemes, metadata and data-access systems, and optimization algorithms for Kubernetes-based distributed processing. The role involves analyzing complex data, prototyping performance improvements, deploying solutions safely to production, and serving as a subject matter expert in databases, query engines, storage, and stream processing.

Build and productionize distributed data infrastructure for Onehouse’s managed lakehouse platform. Responsibilities include developing Apache Hudi transactional capabilities, concurrency control, indexing, metadata and data-access systems, and optimization algorithms for distributed processing on Kubernetes. The role involves analyzing complex data, prototyping performance improvements, collaborating with engineers, and safely deploying solutions. Candidates should bring strong object-oriented programming, distributed systems, algorithm, and relational database expertise.

As a Backend Engineer, you will design and implement scalable platform services, manage APIs, microservices, and ensure operational excellence in a cloud environment.

As a Kubernetes Infrastructure Engineer, you'll manage infrastructure, deploy applications, improve automation, and enhance product quality while collaborating with cross-functional teams.

As a key member of the Data Infrastructure team, you will develop and optimize software features for Apache Hudi's transactional engine, enhance database performance, and solve complex data processing challenges.