Senior Software Engineer, Vector Search, Elasticsearch

Elastic

Confirmed live yesterday Low trust
Remote

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Work type
Remote
Location
Remote
Posted
15 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $189k
$118k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $165,650–$212,950.

Based on 240 similar postings.

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About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Vector Search, Elasticsearch

Senior Software Engineer - Vector Search - Elasticsearch joins the Search Relevance team to deliver a robust, feature-rich search experience and improve Lucene. This technical leader will define the vision for search capabilities, design and implement new features, resolve bugs, and develop innovative algorithms or data structures while making code more maintainable. The role involves collaborating with a globally distributed team to enhance vector search capabilities and engaging with the community on pull requests. Key requirements include expertise in Java, including standard libraries, concurrency constructs, and lambdas. Candidates should have experience with vector similarity techniques like HNSW or IVF, and familiarity with data storage technologies such as Solr, PostgreSQL, MongoDB, or Cassandra. The work focuses on solving complex search relevance problems to provide high-speed results for users of the Elasticsearch platform.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

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What you'll do

  • Develop new search features and resolve complex bugs within the Elasticsearch platform.
  • Design and implement novel algorithms or data structures to improve search speed and relevance.
  • Drive technical direction for search capabilities and contribute to improvements in Lucene.
  • Write high-quality, idiomatic Java code for core system components.
  • Manage and triage community issues and pull requests from global users.
  • Lead the development of vector search capabilities and related technologies.
  • Own projects from initial technical design through to final implementation and deployment.

What we're looking for

  • You must have experience implementing novel vector similarity techniques on a search platform or in academic research.
  • You must have professional experience with search or vector databases using algorithms like HNSW and IVF at scale.
  • You must possess solid skills in core Java, including the standard library of data structures and concurrency constructs.
  • You must be able to work autonomously to lead projects from technical design through completion.
  • You must be capable of collaborating effectively in a distributed team environment using asynchronous communication.
  • You should have experience with various data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
  • You should have a proven track record of using AI to accelerate development and optimize code.
  • Export controls.

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