{"id":56052,"url":"https://alion.io/job/paperpile-senior-backend-engineer-data-search-infrastructure","title":"Senior Backend Engineer (Data, Search, Infrastructure)","company":{"id":17285,"name":"Paperpile","domain":"paperpile.com","url":"https://alion.io/company/paperpile","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AT"],"hiring_countries_total":1,"salary":{"min":60000,"max":90000,"currency":"EUR","period":"year","gross":null,"usd_annual":100706},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"arXiv","optional":false},{"name":"AWS","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"PubMed","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-04-29T00:00:00Z","employer_posted_date":"2026-04-29","last_verified_at":"2026-10-19T01:01:07Z","board_verified":true,"closed_at":null,"days_open":173,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":172},"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.\nRequirements\nStrong backend engineering background with experience building and operating data-heavy systems in production.\nExperience deploying and operating services on AWS.\nExperience designing and maintaining data ingestion pipelines handling messy, heterogeneous sources. Comfortable with web scraping and working with third-party data sources and APIs.\nFamiliarity 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.\nHigh standards for data quality. You think carefully about correctness, deduplication, and consistency.\nSolid understanding of full-text search systems including indexing strategy, relevance tuning, and query optimization.\nProficient in building reliableREST APIs.\nMore useful experience:\nFamiliarity with academic publishing formats and data sources (PubMed, Crossref, arXiv…)\nExperience with PDF processing pipelines (extraction, transformation, storage and delivery at scale).\nExperience with LLM-based document processing or ML pipelines for extracting structured data from unstructured text.\nLarge scale web crawling and scraping.\nBenefits\nBase compensation €60,000-€90,000 based on the level of your experience\nBonus/equity program.\n4 weeks paid vacation + local holidays.\nWe sponsor co-working space in your city.\nLearn and grow. Try out new things. 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