Principal Software Engineer I / II - Query 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. They are seeking a Principal Software Engineer to join the Elasticsearch - Analytical Engine team, responsible for building new analytics capabilities and defining the technical vision for ES|QL capabilities.

Responsibilities:

• Define, lead, and contribute to the development of data-intensive enhancements
• Research the latest features, data structures, and algorithms in the industry to ensure we’re building the right capabilities for our users
• Work directly with our partners and product teams to understand their needs and build out a strategic vision for the longer term
• Bring your past experience in analytics systems to help build and drive an innovative roadmap for ES|QL and the compute engine
• Improve areas based on your questions and your instincts

Requirements:

• Experience leading technical projects in the data and enterprise architecture areas
• Proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems
• Experience mentoring expert engineers, providing technical and professional guidance
• Experience defining a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap
• Hands-on experience with search and analytics APIs, some examples may include Splunk SPL, Elasticsearch, Datadog, Dynatrace, and New Relic
• 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
• Strong desire to optimize and make use of the most efficient data structures and algorithms
• Working with a high level of autonomy, able to tackle projects and guide them from beginning to end
• 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
• Excellent verbal and written communication skills
• 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 working with open source projects and familiar with different styles of source control workflow and continuous integration