Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch

What is The Role

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading search engine 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. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring 

• 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 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.
• 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.
• 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 work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points

• 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.