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 272 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 93 roles with salary data.

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TL;DR · Principal Software Engineer, Search Infra, Elasticsearch

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Principal Software Engineer - Search Infra - Elasticsearch joins the Search Infra team to provide technical vision and direction for core search infrastructure, including indexing, retrieval, and relevance. This role involves researching advances in data structures and retrieval algorithms while defining the long-term roadmap for Elasticsearch capabilities. The engineer will collaborate with partners and product teams to shape the evolution of query execution and relevance layers. Key requirements include expertise in large-scale search systems, distributed systems, and core Java, including advanced data structures, concurrency constructs, and lambda features. Candidates should have hands-on experience with technologies such as Elasticsearch, Lucene, or Solr. The role focuses on solving complex problems within the search and information retrieval space by building robust, high-performance software components to improve the underlying search experience for users of the platform.

What does a Software Engineer earn in Remote?

Median $202482 from 350 postings across 56 companies.

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Skills

Elasticsearch Lucene Java Solr Distributed Systems Data Structures Algorithms Information Retrieval Open Source GitHub Source Control Search Infrastructure Indexing Query Execution

What you'll do

Define, lead, and contribute to the evolution of core search and indexing capabilities.
Research advances in search infrastructure, data structures, and retrieval algorithms.
Provide technical vision and direction for Elasticsearch’s core search infrastructure.
Drive an innovative roadmap for indexing, query execution, and relevance layers.
Act as a go-to expert to improve specific domains of the search infrastructure.
Mentor expert engineers by providing both technical and professional guidance.
Develop high-performance software using Java and advanced data structures.
Ensure all code contributions comply with secure software development frameworks.

What we're looking for

Experience leading technical projects in search infrastructure and distributed systems.
Experience mentoring expert engineers through technical and professional guidance.
Experience defining long-term technical visions for core search or retrieval systems across teams.
Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr.
Proficiency in core Java, advanced data structures, concurrency constructs, and modern language features like lambdas.
Ability to work autonomously from concept to completion including technical design and collaboration.
Experience with large-scale data systems or distributed storage engines.
Excellent verbal and written communication skills for collaborating across distributed teams.
Experience building with Elasticsearch and understanding search theory (preferred).
Experience with open source projects and familiar with various source control workflows and CI (preferred).