Elasticsearch Engineer

Skills

Professional experience with vector similarity and vector databases and you have used BN25 queries percolator queries ELSR2 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 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 Kafka Elasticsearch Solr PostgreSQL MongoDB or Cassandra and have some idea how they work and why they work that way. 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.

Description

Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Elastic Search & Lucene. This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.

Responsibilities

• Building new vector 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 how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve 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!