Senior Software Engineer - Query Engine, Database Internals - Elasticsearch

Elastic is a search AI company that provides cloud-based solutions for search, security, and observability. The Senior Software Engineer will join the Elasticsearch Analytical Engine team to design and implement analytics capabilities, enhance existing features, resolve bugs, and collaborate with globally distributed engineering teams.

Responsibilities:

• 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. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you’ll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware
• You’ll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You’ll get to work with the teams that build the UI to ensure a good user experience, and you’ll get to work with the teams building solutions on top of these APIs
• You'll 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
• You'll 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
• You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements:

• 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
• You have experience with software systems engineering
• You have a strong desire to optimize and make use of the most efficient data structures and algorithms
• 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, 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 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 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
• You've built things with Elasticsearch before
• You've worked in the search and information retrieval space. You're familiar with the data structures and algorithms associated with information retrieval
• You've worked on data storage technology or have experience building data analytics capabilities
• You have experience designing, leading and owning cross-functional initiatives
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration