Senior Software Engineer, Search Algorithms, 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 $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 Elasticsearch - Search Relevance team to deliver a robust, feature-rich search experience. This technical leader contributes to the vision for search capabilities, including designing and implementing new features, enhancing functionality, and resolving bugs within Lucene. The role involves building new features, inventing algorithms or data structures, and potentially working close to hardware. Key responsibilities include leading initiatives for speed and relevance, managing community pull requests, and improving vector search capabilities. Candidates must possess professional experience with search or vector databases using HNSW or IVF algorithms. Required skills include core Java proficiency, knowledge of standard library data structures, concurrency constructs, and familiarity with technologies like Solr, PostgreSQL, MongoDB, or Cassandra. The role focuses on solving complex problems regarding search relevance and infrastructure for large-scale data systems.

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, maintain, and optimize the Elasticsearch core codebase using modern Java.
  • Create new algorithms or data structures to improve system performance and scalability.
  • Resolve complex bugs and technical issues within the Lucene and Elasticsearch components.
  • Lead technical initiatives to provide high-speed, relevant results for the search engine offering.
  • Manage community interactions by triaging and resolving issues and pull requests from global users.
  • Drive the technical direction and vision for search capabilities in a distributed team environment.

What we're looking for

  • Professional experience with search or vector databases using HNSW, IVF, or other relevant algorithms at scale.
  • Proficiency in core Java, including the standard library of data structures and concurrency constructs.
  • Ability to write idiomatic modern Java code for large-scale systems.
  • Experience with 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.
  • 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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