The Hendrix Feature team is dedicated to developing a robust, Spotify-wide platform for machine learning features. This platform streamlines the productionization of ML models by mitigating the incidental complexities involved in creating and maintaining Features, both in their lineage, offline states, and online states. What You'll DoIdentify collaboration opportunities to support the team and ensure successful collaboration with other teams and stakeholdersIs a squad-level expert in a primary domain or drives solutions to a broad set of problems across multiple domains for the squadDelivers on large, complex tasks for features as defined and on schedule, managing all dependencies and communication cross-functionallyMentor other engineers, developing their skills and setting an example for engineering standards at SpotifyConsider the inter-squad connections between features and the rest of the machine learning product area, and Spotify wide machine learning ecosystemWho You AreYou have 3+ years of hands-on experience implementing production machine learning infrastructure at scale in Python, Java, Scala, or similar languagesYou have a general understanding of data processing conceptsYou have experience with agile software processes and modular code design following industry standardsYou have deep experience with developing backend systems at scale and optimizing for performanceWhere You'll BeThis role is based in StockholmWe offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week