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 work with a team of experienced engineers. This role offers flexible location and schedule, fully paid health coverage, generous vacation days, and more.

• Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• 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 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 autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
• 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 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'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 a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
• 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 possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
• 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
• Experience with data storage technology
• You have experience designing, leading and owning cross-functional initiatives