Senior Backend Engineer – Data, Search, Infrastructure

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🕒 June 24

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Paperpile

WebsiteLinkedInAll Job Openings

1 - 10 employees

⚡ Productivity

Productivity

Paperpile is a small software company dedicated to creating innovative productivity tools tailored for researchers, particularly utilizing the Google Apps platform. Their flagship product, Paperpile, is a powerful reference management solution that integrates seamlessly with Google Drive and Google Docs, allowing users to collect references and PDFs via a Chrome extension. Additionally, they offer MetaPDF, a robust PDF annotation tool currently in private beta. Paperpile has garnered a community of enthusiastic researchers globally, providing a modern alternative to traditional desktop reference management software.

📋 Description

• 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.

🏖️ Benefits

• Base compensation **€60,000–€90,000** based on the level of your experience • Bonus/equity program. • 4 weeks paid vacation + local holidays. • We sponsor co-working space in your city. • Learn and grow. Try out new things. We sponsor relevant courses, seminars, and conferences.