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 bugs, and potentially invent new algorithms or data structures while ensuring code remains maintainable. The role involves collaborating with a globally distributed team to enhance vector search capabilities within the Elasticsearch platform. Key responsibilities include triaging community pull requests and developing high-performance software using modern Java. Candidates must possess expertise in vector similarity techniques, including HNSW and IVF algorithms, alongside proficiency in core Java libraries and concurrency constructs. Experience with data storage technologies like Solr, PostgreSQL, or MongoDB is required to solve complex problems involving search relevance and large-scale information retrieval on a distributed infrastructure.

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 high-performance algorithms and data structures to improve the core Elasticsearch engine.
  • Write idiomatic, modern Java code for large-scale production systems.
  • Identify and drive technical improvements in vector search capabilities and similarity information retrieval.
  • Resolve complex bugs and refactor existing code to improve maintainability and clarity.
  • Manage community interactions by triaging and resolving issues and pull requests from global users.
  • Lead technical initiatives and provide direction for the vision of search capabilities.
  • Ensure all software development follows secure coding 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.
  • Proven ability to collaborate asynchronously across different functions and teams while providing feedback on code and APIs.
  • Experience using AI tools to accelerate development, debug complex systems, and optimize code.
  • Familiarity with various data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
  • Export controls.

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