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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Salary context

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 capabilities. This technical leader will drive the vision for search features, design and implement new functionalities, resolve complex bugs, and potentially invent new algorithms or data structures while ensuring code remains maintainable. The role focuses on vector search capabilities within the Elasticsearch platform. Key responsibilities include collaborating with a globally distributed team, engaging with the community on pull requests, and optimizing search relevance. Candidates must possess expertise in core Java, including concurrency constructs and standard libraries, alongside experience with vector similarity algorithms like HNSW or IVF. Proficiency with data storage technologies such as Solr, PostgreSQL, MongoDB, or Cassandra is required to solve complex information retrieval problems within a high-scale search environment.

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.
  • Lead technical initiatives to enhance vector search capabilities and overall search functionality.
  • Write idiomatic, high-quality Java code for core system components.
  • Manage community interactions by triaging and resolving issues from global contributors.
  • Drive the technical direction and vision for search capabilities in a distributed team environment.
  • Ensure all software contributions comply with security standards and data protection policies.

What we're looking for

  • Experience implementing novel techniques in vector similarity on a search platform or advancing 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 to accelerate development, debug complex systems, and optimize code.
  • Experience working with open source projects and familiar with various source control workflows and continuous integration.
  • Ability to collaborate across functions and teams while communicating effectively in an asynchronous, distributed environment.

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