Job Description
📋 Description Lead initiatives within Elasticsearch to improve search speed and relevance. Build new search features, fix bugs, and optimize code clarity. Collaborate with a globally distributed team on vector search. Own Elasticsearch search relevance; drive improvements with questions. Work with cross-functional teams to design and implement components. 🎯 Requirements Experience with search/vector DBs; used HNSW/IVF at scale. Strong Java skills; knowledge of core libraries, concurrency, lambdas. Own projects end-to-end; design and implement components with others. Experience with Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra. Proven track record using AI to speed development and debugging. Comfortable collaborating across functions and distributed teams. 🎁 Benefits Health coverage for you and your family in many locations. Flexible locations and schedules for many roles. Generous vacation days each year. Donations matched up to 2000 USD and paid volunteer time. Parental leave of at least 16 weeks. Inclusive, accessible work environment.
