As a Senior Staff Engineer at Uber, you will play a pivotal role in architecting the company's Next-Generation Data Intelligence Platform. This position focuses on unifying batch, streaming, and AI compute into a cohesive fabric while transitioning from legacy systems to a modern cloud-native ecosystem. You will lead efforts in storage modernization and operationalizing AI intelligence, ensuring high-performance infrastructure that handles exabytes of data. Your work will set industry standards and contribute to open-source projects, enhancing community collaboration.

• 14+ years of experience in designing and operating distributed data and storage systems.
• Extensive storage experience, including batch and object storage management.
• Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures.
• Experience with distributed transactional storage systems such as Docstore or Google Spanner.
• Deep understanding of compute fabrics like Spark, Flink, or Ray.
• Architect-level knowledge of query engines such as Presto, Trino, or Hive.
• Expert-level command of programming languages like Java, Go, Scala, or C++.

• Architect the Multi-Modal Fabric to unify batch, streaming, and AI compute.
• Drive the architecture for a unified catalog and metadata management service.
• Partner with teams to bridge human validation with autonomous reasoning.
• Evolve massive-scale persistence layers to increase resiliency.
• Contribute to open-source projects to act as a force multiplier.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.