Senior Backend Engineer Ml Platform

Design scalable backend systems for affirm’s ML Feature Platform while working remotely in Canada with Python or Kotlin. Build infrastructure supporting machine learning and decisioning.As a Senior Software Engineer, you will help develop a self-serve platform for creating, exploring, serving, and storing machine learning features. You will work across distributed systems, data availability, offline backfilling, and platform improvements. The team supports MLEs, analysts, and decisioning teams.Key Responsibilities:
Own quarterly goals and guide engineers through ambiguous problemsCollaborate with product, design, and analytics stakeholdersIdentify and resolve project, process, technology, or business issuesMonitor metrics and support availability and on-call operationsImprove code review, design standards, writing, and technical talksRequirements:
Four-plus years designing and launching backend systems at scaleExperience with Python or Kotlin backend developmentDistributed systems experience using AWS, MySQL, and KubernetesAbility to design significant features with simple, extensible architectureStrong communication and collaboration skills across global engineering teamsApply backend engineering expertise to advance affirm’s machine learning feature creation, serving, availability, and platform performance.
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