Principal Software Engineer, Vector Search, 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 $201k
$130k most similar roles pay here $266k

This listing doesn't post a salary. Most similar roles pay $172,225–$230,625.

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 · Principal Software Engineer, Vector Search, Elasticsearch

Principal Software Engineer - Vector Search - Elasticsearch joins the Elasticsearch - Search team to enhance vector similarity search functionality within the platform. This role involves designing and implementing new features, improving existing capabilities, resolving bugs, and potentially inventing new algorithms or data structures to provide high-speed, relevant results. The engineer will work with a globally distributed team to contribute to the core codebase while serving as an expert on how Elasticsearch implements vector similarity. Key technical requirements include proficiency in modern Java, experience with concurrency constructs, and familiarity with algorithms like HNSW and IVF. Candidates should have experience with data storage technologies such as Solr, PostgreSQL, MongoDB, or Cassandra. The role focuses on solving complex search problems by integrating advanced vector database capabilities into the core search infrastructure to improve overall information retrieval.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Lead initiatives to develop an industry-leading vector database offering with high speed and relevance.
  • Design and implement new vector search features while enhancing existing functionality within Elasticsearch.
  • Develop, optimize, and debug core Java code for the Elasticsearch platform.
  • Create new algorithms or data structures to improve search performance and code clarity.
  • Serve as a subject matter expert on vector similarity implementation for internal teams.
  • Manage community interactions by triaging and resolving issues and pull requests from global users.
  • Drive technical projects from inception to completion, including design and cross-functional coordination.

What we're looking for

  • Experience implementing novel techniques in vector similarity on search platforms or advancing academic research in the field.
  • Professional experience with vector similarity and vector databases using algorithms like HNSW or IVF at scale.
  • Proficiency in core Java, including standard libraries for data structures, concurrency constructs, and lambdas.
  • Ability to work autonomously to lead projects from technical design through implementation in a distributed team.
  • Experience using 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.
  • Excellent verbal and written communication skills for collaborating across functions and teams.
  • Export controls.

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