Haymes Paint · 5 hours ago

Elasticsearch - Senior Software Engineer - Lucene, Solr, JVM

Mountain View, CA

Full-time

Remote

Senior Level

$133K/yr - $211K/yr

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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.

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.

You'll work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.

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 help us create the future of search within Elasticsearch - building a scalable search tier for our Serverless platform and writing search functionality in ES|QL, our new piped query language as two examples.

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!

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaElasticsearchSolrPostgreSQLMongoDBCassandraData storage technologiesAsynchronous collaborationTechnical designOpen source projects

Required

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.

Ability to work with a high level of autonomy, and take on projects and guide them from beginning to end, covering 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.

Experience with 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.