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, and proficiency in modern Java, including concurrency constructs and standard libraries. Candidates should also possess knowledge of data storage technologies like Solr, PostgreSQL, MongoDB, or Cassandra. The role focuses on solving complex problems regarding search speed, relevance, and the integration of AI into search 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

  • Develop new search features and resolve complex bugs within the Elasticsearch platform.
  • Design and implement advanced algorithms and data structures to improve search speed and relevance.
  • Write high-quality, idiomatic Java code for core search capabilities.
  • Lead technical initiatives and define the vision for search functionality and improvements.
  • Manage community interactions by triaging and resolving issues and pull requests from global users.
  • Optimize vector search capabilities in collaboration with a distributed engineering team.
  • Ensure all software contributions comply with secure 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 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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