Elastic, the search AI company, is seeking a Senior Software Engineer to join the Elasticsearch Search Relevance team. This globally distributed team focuses on delivering a robust and feature rich search experience, including improvements to search relevance and vector search capabilities. The role contributes to the technical direction and implementation of new search features, bug fixes, and performance improvements, with an emphasis on building fast, scalable, and intuitive software. Elastic collaborates across continents via email, GitHub, Zoom, and Slack, and the team values consensus, code reviews, and incremental progress. You will lead initiatives within Elasticsearch to deliver an industry leading search engine with unmatched speed and relevance. You will contribute to Elasticsearch by building new search features, fixing bugs, and simplifying code, sometimes inventing new algorithms or data structures and sometimes getting close to the operating system and hardware. You will work with a globally distributed team focused on vector search capabilities and Elasticsearch search relevance. You will become an expert on Elasticsearch search relevance and drive improvements based on questions and data. You will engage with community members worldwide on issues and pull requests, triaging them or handling them yourself. You will write idiomatic modern Java, as the Elasticsearch codebase is Java heavy. What you bring: professional experience with search or vector databases and familiarity with algorithms such as HNSW or IVF at scale. Strong Java skills and knowledge of cor

Elastic, the search AI company, is seeking a Senior Software Engineer to join the Elasticsearch Search Relevance team. This globally distributed team focuses on delivering a robust and feature rich search experience, including improvements to search relevance and vector search capabilities. The role contributes to the technical direction and implementation of new search features, bug fixes, and performance improvements, with an emphasis on building fast, scalable, and intuitive software. Elastic collaborates across continents via email, GitHub, Zoom, and Slack, and the team values consensus, code reviews, and incremental progress. You will lead initiatives within Elasticsearch to deliver an industry leading search engine with unmatched speed and relevance. You will contribute to Elasticsearch by building new search features, fixing bugs, and simplifying code, sometimes inventing new algorithms or data structures and sometimes getting close to the operating system and hardware. You will work with a globally distributed team focused on vector search capabilities and Elasticsearch search relevance. You will become an expert on Elasticsearch search relevance and drive improvements based on questions and data. You will engage with community members worldwide on issues and pull requests, triaging them or handling them yourself. You will write idiomatic modern Java, as the Elasticsearch codebase is Java heavy. What you bring: professional experience with search or vector databases and familiarity with algorithms such as HNSW or IVF at scale. Strong Java skills and knowledge of cor