Job Description
📋 Description Lead initiatives to improve Elasticsearch search relevance and speed. Contribute to new search features and bug fixes; implement algorithms. Own design and implementation of search features and data structures. Collaborate with a globally distributed team across time zones. Be an expert on Elasticsearch search relevance; drive improvements. 🎯 Requirements Professional experience with search or vector databases; used HNSW, IVF. Strong Java skills; solid data structures, concurrency, and lambdas. Experience with Elasticsearch, Solr, PostgreSQL, MongoDB, Cassandra. Ability to design, lead, and own cross-functional initiatives end-to-end. Proven track record using AI to accelerate development and debugging. Excellent collaboration across distributed teams; autonomous, proactive. 🎁 Benefits Health coverage for you and family in many locations. Flexible locations and schedules for many roles. Generous vacation days each year. Elastic stock program eligibility. RRSP matching up to 6%. Volunteer time and donations matching up to 2000 CAD equivalent.