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Staff Software Engineer (Databases, Tempo)

Grafana Labs · Spain

External listingfull-time21 days ago

About The Role

Join Grafana Labs as a Staff Software Engineer, focusing on Tempo, our open-source distributed tracing backend. In this remote role, you'll lead technical initiatives, own the architecture of core Tempo components, design APIs, drive operational excellence, and mentor engineers. You'll also contribute to open source and have access to modern AI coding assistants. Enjoy benefits like 30 days of paid vacation, healthcare coverage, retirement planning, professional development, and more.

  • Contribuir al desarrollo y evolución de Tempo, la plataforma de trazado distribuido de Grafana, desde un servicio SaaS hasta una plataforma que potencia los productos de observabilidad de próxima generación.
  • Liderar iniciativas técnicas complejas y multi-trimestre, desde la definición del problema hasta la implementación, y ser responsable de la arquitectura de los componentes centrales de Tempo.
  • Colaborar con equipos de producto y otros equipos para comprender cómo se consume Tempo y entregar lo que desbloquea su uso.
  • Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well
  • Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment
  • Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better
  • Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar
  • Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore
  • Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate
  • Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship

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