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Senior Software Engineer (Search Relevance in ES|QL)
Elastic · United States
About The Role
Join our globally-distributed Elasticsearch - Search Relevance team as a Senior Software Engineer. You will contribute to the technical direction and vision for our search capabilities, design and implement new search features, enhance search functionality, and resolve bugs. You will work with a team of experienced engineers focused on vector search capabilities and be an expert on Elasticsearch search relevance. This is a fully remote position with flexible scheduling and generous benefits.
- Contribuir a la dirección técnica y visión de nuestras capacidades de búsqueda, incluyendo el diseño e implementación de nuevas características de búsqueda.
- Liderar iniciativas dentro de Elasticsearch para producir una oferta de motor de búsqueda líder en la industria, proporcionando velocidad y relevancia sin igual en la búsqueda.
- Trabajar con un equipo de ingenieros experimentados enfocados en las capacidades de búsqueda vectorial de Elasticsearch, y ser un experto en la relevancia de búsqueda de Elasticsearch.
- You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
- 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 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 have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
- 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 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've built things with Elasticsearch before
- Experience with data storage technology
- 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
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