Senior Software Engineer, Search Algorithms, 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 $191k
$118k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $165,612–$216,000.

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, Search Algorithms, Elasticsearch

Senior Software Engineer - Search Algorithms - Elasticsearch joins the Search Relevance team to deliver a robust, feature-rich search experience and contribute to improvements in Lucene. This technical leader will drive the vision for search capabilities by designing and implementing new features, enhancing functionality, and resolving complex bugs. The role involves building new search features, inventing algorithms or data structures, and potentially working close to hardware. Key responsibilities include managing vector search capabilities and collaborating with a global community on pull requests. Candidates must possess professional experience with search or vector databases using HNSW or IVF algorithms. Required skills include core Java expertise, knowledge of standard library data structures, concurrency constructs, and familiarity with technologies like Solr, PostgreSQL, MongoDB, or Cassandra. The role focuses on solving technical challenges related to search speed and relevance within 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

  • Design and implement new search features and enhancements to improve search functionality and relevance.
  • Develop, optimize, and maintain the Elasticsearch core codebase using modern Java.
  • Create new algorithms or data structures to solve complex technical challenges in search performance.
  • Identify and drive improvements in vector search capabilities and overall search engine quality.
  • Manage and triage community issues and pull requests from a global user base.
  • Lead technical initiatives and provide direction for the search capabilities roadmap.
  • Resolve complex bugs while ensuring code remains readable and maintainable.

What we're looking for

  • Professional experience with search or vector databases using HNSW, IVF, or other relevant algorithms at scale.
  • Solid skills in core Java, including the standard library of data structures and concurrency constructs.
  • Ability to write idiomatic modern Java code.
  • Experience with various data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
  • Proven track record of using AI to accelerate development, debug systems, and optimize code.
  • Ability to work autonomously and lead projects from technical design through completion in a distributed team.
  • Experience working with open source projects and familiar with various source control workflows and CI.
  • Export controls.

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