Notion-posted 14 days ago
$180,000 - $280,000/Yr
Full-time
New York, NY
Professional, Scientific, and Technical Services
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Notion is looking for talented engineers to help build the next generation of our search infrastructure. This team is responsible for ensuring that all of the content that our users keep in Notion is available for search. You will provide the bedrock of our search and AI functionality by ensuring that our indexing systems and search clusters are comprehensive, instantaneous, and correct.

  • Denormalize, preprocess, and index any and every type of Notion comment that our users might find useful.
  • Maintain Notion's stunningly quick indexing latency.
  • Ensure correctness and consistency, ensuring that every change in the application is reflected in our search indices.
  • Scale our search infrastructure up and out, owning both the hardware and the configurations of our indices.
  • Drive best-in-class user privacy, security, and Enterprise-level features.
  • Own our feature-store infrastructure, making it easy for multiple teams to make high-value information quickly and cheaply available.
  • Consult with product engineers across the organization on data modeling and ingesting new types of content.
  • Experience in backend engineering, data infrastructure, search infrastructure, queueing systems, at-least-once message delivery, multi-stage data pipelines, or distributed systems.
  • A track record for shipping scalable and reliable user-facing products.
  • Ability to thrive when collaborating cross-functionally, especially with product, design, infrastructure, or data teams.
  • A computer science background or equivalent technical experience.
  • Experience building full-text search using Lucene, Elasticsearch, or Solr.
  • Experience with designing, building, and maintaining complex distributed systems.
  • Experience with large scale data processing technologies like Spark, Flink, Kafka, Airflow, YARN/Hadoop.
  • Tuned the throughput of a complex asynchronous system.
  • Worked at a fast-growing start-up, a SaaS company, or are eager to contribute in such an environment.
  • Familiarity with computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others.
  • Highly competitive cash compensation.
  • Equity.
  • Comprehensive benefits package.
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