Principal 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 $201k
$130k most similar roles pay here $266k

This listing doesn't post a salary. Most similar roles pay $171,850–$231,000.

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 · Principal Software Engineer, Search Algorithms, Elasticsearch

Principal Software Engineer - Search Algorithms - Elasticsearch joins the Elasticsearch search team to enhance vector similarity search functionality. This role involves designing and implementing new features, improving existing capabilities, and resolving bugs within the Lucene-based search experience. The engineer will lead initiatives to build a premier vector database offering by developing new algorithms or data structures and writing idiomatic Java code. Key responsibilities include collaborating with a globally distributed team, managing community pull requests, and ensuring high performance in search relevance. Required expertise includes professional experience with vector similarity, vector databases, and specific algorithms like HNSW or IVF. The candidate must possess strong skills in core Java, concurrency constructs, and data structures while demonstrating proficiency in tools such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra to solve complex technical challenges in the search space.

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 and improve the Elasticsearch vector database offering.
  • Design and implement new vector search features and algorithms.
  • Resolve complex bugs and optimize existing vector search functionality.
  • Write idiomatic, high-quality Java code for the core Elasticsearch platform.
  • Serve as a subject matter expert on vector similarity implementation for internal teams.
  • Manage community pull requests and triage issues from global contributors.
  • Drive technical designs and project lifecycles autonomously within a distributed team.

What we're looking for

  • Professional experience with vector similarity and vector databases using algorithms like HNSW or IVF at scale.
  • Strong skills in core Java, including the standard library of data structures and concurrency constructs.
  • Ability to work autonomously to lead projects from technical design through completion.
  • Experience with various data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
  • Proven track record of using AI to accelerate development, debug systems, and optimize code.
  • Excellent verbal and written communication skills for collaborating in a distributed team environment.
  • Ability to collaborate across functions and teams while transitioning between different projects based on priorities.
  • Export controls.

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