Overview
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As a Principal Software Engineer on the Elasticsearch - Search team, you’ll lead the development of vector search capabilities at scale. You’ll shape a high-performance vector database experience, contribute to core search features, and drive architectural innovations. You’ll collaborate with a general team, mentor peers, and engage with the community to deliver fast, reliable search powered by AI. This role offers meaningful impact by advancing vector similarity technology in a widely used platform.
Compensaciones / Beneficios
competitive pay
health coverage for you and family
flexible locations and schedules
generous vacation days
donation matching
parental leave
Responsabilidades
Lead initiatives to deliver an industry-leading vector database with fast, relevant search
Contribute to Elasticsearch features, implement new search capabilities, and fix complex bugs
Invent or adapt algorithms and data structures; optimize near hardware and OS boundaries
Collaborate with a globally distributed team on vector search capabilities
Become the go-to expert on vector similarity within Elasticsearch and drive improvements
Triager and manage community issues and PRs, sometimes handling tasks independently
Write idiomatic Java to maintain and evolve the codebase
Requisitos principales
Experience implementing novel vector similarity techniques on large-scale search platforms
Proficiency in vector similarity and vector databases; exposure to HNSW, IVF, or related algorithms
Strong core Java skills, data structures, concurrency, and modern features like lambdas
Autonomous xqbhyrx with end-to-end project ownership and cross-functional collaboration
Experience with distributed collaboration and open source practices
Familiarity with multiple data storage technologies (e.g., Elasticsearch, Solr, PostgreSQL, MongoDB, Cassandra)
Excellent verbal and written communication; collaborative and respectful working style
Proven track record applying AI to accelerate development and optimize systems
collaborative
effective communicator
adaptable to asynchronous work
vector similarity
vector databases
HNSW