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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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 by contributing to Lucene improvements. This technical leader will drive the vision for search capabilities, designing and implementing new features, resolving complex bugs, and developing novel algorithms or data structures. The role involves building vector search capabilities and ensuring high performance in search results. Key requirements include expert knowledge of Elasticsearch search relevance, proficiency in modern Java, and experience with data structures and concurrency constructs. Candidates should have a background in search or vector databases using HNSW or IVF algorithms. Experience with technologies like Solr, PostgreSQL, MongoDB, or Cassandra is relevant. The role focuses on solving technical challenges related to search speed and relevance within the Elasticsearch platform while collaborating with a globally distributed team of engineers.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

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What you'll do

  • Lead initiatives to develop high-performance search features and improve search relevance within the Elasticsearch platform.
  • Develop new search features, fix complex bugs, and implement novel algorithms or data structures in Java.
  • Drive technical direction and vision for core search capabilities and infrastructure improvements.
  • Manage and triage community issues and pull requests from a global user base.
  • Optimize code performance by working closely with operating system and hardware components when necessary.
  • Ensure all software contributions comply with secure software development frameworks and data protection policies.

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.
  • Experience with 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 continuous integration.
  • Ability to navigate export controls and licensing requirements for individuals located in or nationals of specific sanctioned regions.

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