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 improve Lucene capabilities. This technical leader will drive the vision for search features, design and implement new functionality, resolve bugs, and potentially invent new algorithms or data structures while ensuring code remains maintainable. The role involves collaborating with a globally distributed team focused on vector search capabilities and engaging with the community on pull requests. Key requirements include professional experience with search or vector databases using HNSW or IVF algorithms, proficiency in modern Java, and familiarity with data structures and concurrency. Candidates should have experience with technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra. The role focuses on solving complex problems regarding search speed and relevance within the core 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 high-quality code using modern Java for the Elasticsearch platform.
  • 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 offerings.
  • Resolve bugs and refactor existing code to improve readability and system stability.
  • Manage community interactions by triaging, reviewing, and resolving issues from global users.
  • Lead technical initiatives and own projects from initial design through final implementation.
  • Ensure all software contributions comply with security policies and secure development frameworks.

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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