Principal Software Engineer (Vector Search, Elasticsearch)

Join our globally-distributed team as a Principal Software Engineer focused on enhancing the vector similarity search functionality within Elasticsearch. You will lead initiatives to produce an industry-leading vector database offering, contribute to the development of new search features, and collaborate with experienced engineers from around the world. This role offers flexible location and schedule, fully paid health coverage, generous vacation days, and more.

• Contribuer à l'amélioration de la fonctionnalité de recherche par similarité vectorielle dans Elasticsearch, y compris la conception et la mise en œuvre de nouvelles fonctionnalités.
• Diriger des initiatives au sein d'Elasticsearch pour produire une offre de base de données vectorielle de premier plan dans l'industrie, en fournissant une vitesse et une pertinence inégalées dans la recherche.
• Travailler avec une équipe d'ingénieurs expérimentés, en étant un expert sur la façon dont Elasticsearch implémente la similarité vectorielle en soutien à la pertinence de la recherche.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software
• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval
• You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way
• You've built things with Elasticsearch before
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration
• You have experience designing, leading and owning cross-functional initiatives
• Experience with data storage technology