Paperpile runs on data at scale, with a literature database of 250M+ academic papers and a growing body of user data accumulated over more than a decade. You'll work across the systems that ingest, process, store, and serve this data reliably: building pipelines, optimizing search, handling PDFs at scale, and exposing clean APIs.

Requirements

• Strong backend engineering background with experience building and operating data-heavy systems in production.
• Experience deploying and operating services on AWS.
• Experience designing and maintaining data ingestion pipelines handling messy, heterogeneous sources. Comfortable with web scraping and working with third-party data sources and APIs.
• Familiarity with Node.js and TypeScript. It’s fine if you come from a different background, such as Java or Python, but you should be comfortable working in this e...