Staff Software Engineer - Data Foundation

Responsibilities

• Turn product requirements into technical requirements: model the domain, define the interfaces and the workflows, and navigate trade-offs
• Break large problems into work other engineers can own, and sequence it so we ship something useful early
• Drive high-impact architectural decisions across the data platform, and own components end to end from design through production
• Work across our stack, mainly Go, Kotlin, Rust and Python where they fit, choosing the right tool rather than the familiar one
• Design for correctness and performance under real volume: large-scale ingestion, distributed processing, and data lake storage
• Raise the bar on design reviews, testing, and how the team breaks work down
• Mentor engineers by example, in a fully distributed team
• You might be a great fit if
• You are a strong generalist with real computer science fundamentals, and you use them to adapt quickly to new technologies and problem spaces
• You reason from first principles: you make assumptions explicit, identify the constraints and invariants that matter, and derive the solution rather than reaching for a familiar pattern.

Languages