Software Engineer, Knowledge Engine – Data Infrastructure

Location: Onsite in Zurich, Switzerland

Salary: $180K–$350K per year plus equity

Company

hirify.global builds a knowledge engine that synthesizes information from the web and other sources into a large, evidence-backed open-domain knowledge graph for factual answers.

What you will do

• Build construction pipelines that transform web crawls, vendor datasets, APIs, and other sources into ontology-shaped claims with provenance, timestamps, and confidence.
• Integrate new sources using versioned append-only history, schema evolution, replayable cursors, and support for late-arriving and corrected records.
• Resolve entities across billions of records and reconcile conflicting claims using source reliability, recency, and corroboration.
• Build incremental computation over change data feeds with idempotent, resumable jobs and eventually consistent graph updates.
• Develop evaluation, coverage, correctness, and lineage systems to measure precision and completeness and identify failing sources or processing stages.

Requirements

• Production experience building and operating large-scale distributed data pipelines over petabytes of structured and unstructured data.
• Experience with Spark and a lakehouse format such as Delta Lake, Iceberg, or Hudi, including the ability to read and tune Spark query plans.
• Deep understanding of incremental processing, including change data capture, idempotent writes, backfills, and reprocessing.
• Strong Python skills and proficiency in at least one systems language.
• Strong focus on correctness, reliability, data quality, and scale.

Nice to have

• Experience with entity resolution, record linkage, knowledge graphs, or ontologies.
• Experience with information extraction or truth discovery at scale.
• Experience with Lance or other columnar/vector-native formats.

Culture & Benefits

• Greenfield engineering work with foundational architectural decisions and broad scope.
• Full-time employment with equity included in the compensation package.
• Equal opportunity employment regardless of legally protected characteristics.