Senior Software Developer (Vector Search, Elasticsearch)

Join our globally-distributed team as a Senior Software Developer focused on Elasticsearch and vector search capabilities. 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 and be an expert on Elasticsearch search relevance. This is a remote position with flexible scheduling and generous benefits.

• Contributing to the technical direction and vision for search capabilities, including design and implementation of new features.
• Leading initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.
• Working with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• 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 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
• 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 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 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
• Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
• 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 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