Senior Software Engineer - Search Relevance - Elasticsearch

Elastic Elastic · Enterprise · United States · Platform - Elasticsearch

Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including designing and implementing new search features, improving existing functionality, and resolving bugs. The role involves contributing to search relevance, working with vector databases and algorithms like HNSW/IVF at scale, and writing modern Java.

What you'd actually do

  1. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
  2. Work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.
  3. Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.
  4. Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
  5. Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Skills

Required

  • Professional experience with search and vector databases
  • HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
  • strong skills in core Java
  • standard library of data structures and concurrency constructs
  • lambdas
  • high level of autonomy
  • technical design
  • working with other engineers to develop needed components
  • developing collaboratively
  • Giving and receiving feedback on code and approaches and APIs
  • data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra
  • excellent verbal and written communication skills

Nice to have

  • built things with Elasticsearch before
  • worked on data storage technology
  • worked with open source projects and are familiar with different styles of source control workflow and continuous integration
  • experience designing, leading and owning cross-functional initiatives
  • collaborated over the internet
  • asynchronous collaboration over the internet

What the JD emphasized

  • vector and keyword search functionality
  • search relevance
  • vector databases
  • HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
  • core Java
  • standard library of data structures and concurrency constructs

Other signals

  • improving the search experience in Lucene
  • enhancing the vector and keyword search functionality within Elasticsearch
  • design and implementation of new search features
  • enhancements to existing search functionality
  • invent a new algorithm or data structure
  • search relevance
  • vector databases
  • HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale