Elastic, the Search AI company, is hiring a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally distributed team delivers a robust and feature-rich search experience and works to improve search relevance in Lucene. The role involves contributing to the technical direction and vision for our search capabilities, designing and implementing new features, enhancing functionality, and resolving bugs. Elastic hires engineers worldwide and collaborates across email, GitHub, Zoom, and Slack. You will lead initiatives to deliver an industry-leading search engine with speed and relevance, build new Elasticsearch features and fix intriguing bugs, and sometimes invent a new algorithm or data structure. You will work with a globally distributed team focused on vector search capabilities and become an expert on Elasticsearch search relevance, driving improvements based on questions and instincts. You will engage with the community on issues and pull requests, triaging or handling them as needed. You will write idiomatic modern Java; Elasticsearch is predominantly Java. Requirements include professional experience with search or vector databases, experience with algorithms like HNSW or IVF at scale, solid Java skills, and knowledge of core data structures and concurrency. You should be able to work autonomously, guide projects from conception to completion, and collaborate effectively with others, including asynchronous communication. Bonus points for prior Elasticsearch experience, open-source collaboration, data storage technology experience, and le

Elastic, the Search AI company, is hiring a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally distributed team delivers a robust and feature-rich search experience and works to improve search relevance in Lucene. The role involves contributing to the technical direction and vision for our search capabilities, designing and implementing new features, enhancing functionality, and resolving bugs. Elastic hires engineers worldwide and collaborates across email, GitHub, Zoom, and Slack. You will lead initiatives to deliver an industry-leading search engine with speed and relevance, build new Elasticsearch features and fix intriguing bugs, and sometimes invent a new algorithm or data structure. You will work with a globally distributed team focused on vector search capabilities and become an expert on Elasticsearch search relevance, driving improvements based on questions and instincts. You will engage with the community on issues and pull requests, triaging or handling them as needed. You will write idiomatic modern Java; Elasticsearch is predominantly Java. Requirements include professional experience with search or vector databases, experience with algorithms like HNSW or IVF at scale, solid Java skills, and knowledge of core data structures and concurrency. You should be able to work autonomously, guide projects from conception to completion, and collaborate effectively with others, including asynchronous communication. Bonus points for prior Elasticsearch experience, open-source collaboration, data storage technology experience, and le