Principal Software Developer - Query Engine, Database Internals - Elasticsearch

Elastic · Canada

In short

▸Desarrollador principal de motor de consultas en Elasticsearch, enfocado en ES|QL y análisis de datos.
▸Trabajas en equipo global, definiendo visión técnica y construyendo capacidades avanzadas con Java.
▸Destacado: 99.8% del código es Java moderno, con enfoque en escalabilidad y rendimiento.

Collaborate across continents every day over email, GitHub, Zoom, and Slack.

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What they ask for

✓Experiencia líder en proyectos técnicos de datos y arquitectura empresarial.
✓Capacidad para mentorizar ingenieros expertos.
✓Experiencia definir visión técnica a largo plazo en sistemas de análisis.
✓Conocimiento práctico de APIs de búsqueda y análisis (ej. Splunk SPL, Elasticsearch, Datadog).
✓Habilidades sólidas en Java básico y familiaridad con Java moderno.
✓Experiencia colaborando con equipos multidisciplinarios y equipos de producto.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

JavaES|QLElasticsearchSearchAnalyticsPiped Query LanguageCloud-based SolutionsGitHubZoomSlack

Who should you write to at Elastic?

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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 Principal Software Developer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s completely new compute engine, and accessed via our new piped query language called ES|QL . This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of ES|QL capabilities. This role includes providing technical vision and direction for the customer/user interfaces and for the underlying language syntax and compute infrastructure. This role requires related past technical experience in addition to the ability to work cross-organization. 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 define, lead, and contribute to the development of data-intensive enhancements. You’ll research the latest features, data structures, and algorithms in the industry to ensure we’re building the right capabilities for our users. You’ll work directly with our partners and product teams to understand their needs and build out a strategic vision for the longer term. You’ll bring your past experience in analytics systems to help build and drive an innovative roadmap for ES|QL and the compute engine. As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question about that area. 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 capabilities 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 APIs (Search, Security, Observability) Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java! What You Bring: • Experience 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 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

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