Backend Engineer

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 environment. • High standards for data quality. You think carefully about correctness, deduplication, and consistency. • Solid understanding of full-text search systems including indexing strategy, relevance tuning, and query optimization. • Proficient in building reliable REST APIs. More useful experience • Familiarity with academic publishing formats and data sources (PubMed, Crossref, arXiv ) • Experience with PDF processing pipelines (extraction, transformation, storage and delivery at scale). • Experience with LLM-based document processing or ML pipelines for extracting structured data from unstructured text. • Large scale web crawling and scraping. Compensation • Base compensation 60,000- 90,000 based on the level of your experience • Bonus/equity program. Please mention the word **NOURISH** and tag RNDcuMTY1LjkuMzQ= when applying to show you read the job post completely (#RNDcuMTY1LjkuMzQ=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.