Staff Engineer, Data Platform (R5659)

Required

• Significant experience designing and operating distributed data solutions, storage systems, or data-intensive backend services.
• Strong software engineering skills and a record of delivering production systems in languages such as Go and Python.
• Deep understanding of data modeling, API design, schema evolution, identity, consistency, indexing, query planning, and data lifecycle concerns.
• Experience working across multiple storage modalities, such as relational or graph databases, object storage, analytical or columnar systems, and file storage.
• Experience designing reliable ingestion and access paths for high-volume or operationally important data.
• Strong understanding of Kubernetes, Linux, networking, security, storage, observability, and distributed-systems fundamentals.
• Experience deploying data infrastructure across cloud or customer-managed environments using modern Infrastructure as Code and platform engineering practices.
• Ability to evaluate technologies through prototypes, benchmarks, operational requirements, and total lifecycle cost rather than feature lists alone.
• Experience defining architecture and technical standards while remaining hands-on in implementation and debugging.
• Demonstrated ability to collaborate with ML researchers, autonomy engineers, test teams, platform engineers, and product stakeholders.
• Clear technical communication and the ability to make complex data architecture understandable to both specialists and downstream users.
• Bonus qualifications and relevant technologies: