Senior Software Engineer - Analytical Engine, Database Internals - Elasticsearch

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

We're looking for a Senior Software Engineer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s new compute engine, and accessed via our new piped query language called ES|QL. This is an engineering role that entails using your knowledge in this space in order to design and build the next generation of ES|QL capabilities.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

As a full time Elasticsearch contributor, you will design and contribute to the development of data-intensive improvements. You’ll research the latest features, data-structures, and algorithms in the industry to ensure we’re building the right capabilities for our users. As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question. You'll improve those areas based on your questions and your instincts.

Our globally distributed team of expert engineers is focused on the search and query (ES|QL) analytics APIs of Elasticsearch. This inclusive team collaborates closely with other user experience teams crafting a friendly user interface, and with teams closer to the customer building solutions on top of these capabilities (Search, Security, Observability)

Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring 

• 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 a strong desire to optimize and make use of the most efficient data structures and algorithms.
• Experience with software systems engineering
• Working with a high level of autonomy, able to tackle projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• Excellent verbal and written communication skills. Collaborating on the internet is hard. We try to be supportive, appreciative, and trusting in all of our interactions. And we expect that from everyone too.

Bonus Points

• You've built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind it.
• Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and an understanding of how they work and why they work that way.
• Experience working with open source projects and familiar with different styles of source control workflow and continuous integration.

Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  

The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. 

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.  

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensatio