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Elastic is seeking a Principal Software Developer for the Elasticsearch - Analytical Engine team. You will define, direct, and build the next generation of ES|QL capabilities, contributing to data-intensive analytics and a new compute engine, written in Java and integrated with modern APIs.
You will lead cross-functional initiatives, mentor engineers, and collaborate with product teams to shape a strategic long-term roadmap.
You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomesYou work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communicationStrong 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 algorithmsExperience defining a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmapYou possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business prioritiesExperience leading technical projects in the data and enterprise architecture areas. You bring proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systemsExperience mentoring expert engineers, providing technical and professional guidanceWorking 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 componentsHands-on experience with search and analytics APIs, some examples may include Splunk SPL, Elasticsearch, Datadog, Dynatrace, and New RelicExcellent verbal and written communication skills. Collaborating on the internet is hard. We try to be supportive, empathetic, and trusting in all of our interactions. And we expect that from everyone tooExperience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and an understanding of how they work and why they work that wayYou’ve built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind itExperience working with open source projects and familiar with different styles of source control workflow and continuous integration