Build and evolve APIs, SDKs, and platform integrations for feature engineering.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle from data ingestion to feature serving.
Contribute to platform reliability, testing, observability, and operational excellence.

🎯 Requirements

Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Backend systems and APIs; exposure to distributed compute (Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious, collaborative, and eager to learn and contribute.
Experience with ML tooling, or data pipelines is a plus.

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