Senior Software Engineer, Vector Search, Elasticsearch

Elastic

Confirmed live yesterday Low trust
Remote

Quick summary

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 by contributing to Lucene improvements and developing new features within the Elasticsearch platform. This technical leader will design and implement search capabilities, resolve complex bugs, and potentially invent new algorithms or data structures while ensuring code remains maintainable. The role focuses on vector search capabilities, requiring expertise in vector similarity information retrieval and experience with HNSW or IVF algorithms. Candidates must possess strong skills in modern Java, including the standard library of data structures and concurrency constructs. The work involves collaborating with a globally distributed team to solve problems related to search relevance and performance. Key technologies include Elasticsearch, Solr, PostgreSQL, MongoDB, and Cassandra, while utilizing AI tools to debug systems and optimize code for high-scale production environments.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

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What you'll do

  • Design and implement new search features and enhancements to improve the overall search experience.
  • Develop, optimize, and maintain core Elasticsearch code using modern Java.
  • Create and implement novel algorithms or data structures to improve search speed and relevance.
  • Lead technical initiatives to provide high-performance vector search capabilities.
  • Resolve complex bugs and refactor existing code to improve readability and maintainability.
  • Manage community interactions by triaging and resolving issues and pull requests from global users.
  • Drive the technical direction and vision for search functionality within the product.

What we're looking for

  • Experience implementing novel techniques in vector similarity on search platforms or advancing academic research in the field.
  • Professional experience with search or vector databases using algorithms like HNSW and IVF at scale.
  • Proficiency in core Java, including the standard library of data structures and concurrency constructs.
  • Ability to work autonomously to lead projects from technical design through completion.
  • Experience using various data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
  • Proven track record of using AI tools to accelerate development, debug systems, and optimize code.
  • Ability to collaborate effectively in a distributed team environment using asynchronous communication.
  • Export controls.

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