Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch
Develop search relevance features for Elasticsearch using Java and Lucene.

Mountain View, USA · Founded 2012 · 1001-5000 staff
Elastic is a search and analytics company that provides The Elasticsearch Platform, an enterprise solution designed to help organizations accelerate time to insight by powering search, observability, and AI capabilities across their data.
Roles based in: Germany, London, Netherlands, The Netherlands
Builds in: AI/ML · Platform · Infrastructure · Security · B2B SaaS
Seniority: 2 mid · 5 senior · 5 principal
Publishes salary on 12 of 18 ads · Hiring engineering roles here since June 2026
Curated from live Elastic postings. Click any role for the full brief.
Develop search relevance features for Elasticsearch using Java and Lucene.
Design and optimize core storage engine components for Elasticsearch's observability platform using Java.
Architect the Agent Framework layer, defining technical direction for distributed observability data collection at scale.
Design core storage engine components for Elasticsearch's observability platform, optimizing indexing and query performance using Java.
Architect custom solutions using AI, vector search, and cloud platforms to drive partner growth.
Build and own features for Elastic's public-facing website, the first touchpoint for customers.
Advise enterprise clients on Elastic Stack solutions, driving technical wins and enabling sales.
Define, direct, and build next-gen Elasticsearch capabilities for the Search AI Company.
Define and build next-gen search capabilities for Elastic's AI Platform.
Define, direct, and build the next generation of Elasticsearch capabilities for the Search AI Company.
Advise enterprise clients on Elastic's Search AI Platform, solving business issues with technology.
Design next-gen security solutions using Elastic's AI platform for Fortune 500 companies.
Build and own features for Elastic's public-facing website, the Search AI Company.
Build industry-leading vector search for Elasticsearch, enhancing AI-driven search relevance at scale.
Advise enterprise clients on Elastic Stack solutions, driving sales and community engagement.
Advise public sector clients on Elastic's Search AI Platform, driving technical wins and community engagement.
Advise public sector clients on Elastic's AI platform, driving technical wins and community engagement.
Define, direct, and build the next generation of Elasticsearch capabilities for the Search AI Company.
No longer open on Elastic's site. Kept for reference — saved archived roles stay in your dashboard.
Build AI-ready customer data for Elastic's sales teams in Spain.
Build and improve Elastic's multi-cloud platform for search and AI.
Build and maintain Elastic's documentation platform and tooling for global users.
Advise SLED customers on Elastic Search AI Platform solutions, acting as a technical advisor to sales and partners.
Architect solutions for enterprise clients using Elastic's Search AI Platform.
Architect solutions for Elastic's Search AI Platform, advising enterprise clients on AI, search, security, and observability.