Senior Software Engineer (Search Relevance in ES|QL, Elasticsearch)

Join our globally-distributed team as a Senior Software Engineer focused on search relevance in Elasticsearch. You'll contribute to the technical direction and vision for our search capabilities, design and implement new features, and resolve bugs. You'll work with experienced engineers, write modern Java code, and have a significant impact on our search engine offering. Enjoy benefits like fully paid health coverage, flexible location and schedule, generous vacation days, and more.

• Contribuer à la direction technique et à la vision de nos capacités de recherche, y compris la conception et la mise en œuvre de nouvelles fonctionnalités de recherche.
• Diriger des initiatives au sein d'Elasticsearch pour produire une offre de moteur de recherche 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 se concentrant sur les capacités de recherche vectorielle d'Elasticsearch.
• You have solid 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 autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
• 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'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'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
• Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
• 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'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