Senior Software Engineer, Vector Search, Elasticsearch

Elastic

Confirmed live 2 days ago Low trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
15 days ago
Freshness
Confirmed live 2 days ago

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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 drive technical direction, design new features, and resolve bugs within the search engine. This role involves building high-performance search capabilities, potentially inventing new algorithms or data structures, and improving Lucene components. The engineer will work on vector search capabilities while collaborating with a globally distributed team of experts. Key responsibilities include managing community pull requests and writing idiomatic Java code. Candidates must possess expertise in vector similarity techniques, including HNSW and IVF algorithms, and have experience with technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra. The role requires proficiency in core Java, concurrency constructs, and the ability to use AI tools for debugging and optimization. This position focuses on solving complex search relevance problems and providing high-speed results for large-scale data.

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 improvements to enhance search functionality and relevance.
  • Develop, optimize, and maintain high-quality code using modern Java for the Elasticsearch platform.
  • Create and implement novel algorithms or data structures to improve search performance and speed.
  • Lead technical initiatives and provide direction for the search capabilities of the product.
  • 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 improvements in vector search capabilities and related information retrieval technologies.

What we're looking for

  • Experience implementing novel techniques in vector similarity on a search platform or contributing to academic research in the field.
  • Professional experience with search or vector databases using algorithms like HNSW and IVF at scale.
  • Proficiency in writing idiomatic modern Java, including knowledge of standard libraries, data structures, and concurrency constructs.
  • Ability to work autonomously to lead projects from technical design through implementation in a distributed team environment.
  • 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.
  • Familiarity with open source projects, source control workflows, and continuous integration.
  • Export controls.

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