Senior Software Engineer - Search Area

What You Will Be Doing:

• You'll be a full time Elasticsearch contributor, building data intensive new 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 search capabilities of Elasticsearch.
• Be an expert in several areas of Elasticsearch and everyone will turn to you when they have a question about them. You'll improve those areas 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 Along:

• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
• 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.
• 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.
• Experience in several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• 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.

Bonus Points:

• You've built things with Elasticsearch before.
• Worked in the search and information retrieval space.
• Have experience working in machine learning or vector-based retrieval.
• Worked on data storage technology.
• Have experience designing, leading and owning cross-functional initiatives.
• Worked with open source projects and are familiar with different styles of source control workflow and continuous integration.