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Senior Staff Software Engineer - Delta

databricks · Londonsenior

En corto

  • ▸Ingeniero de software senior que construye y optimiza sistemas backend de alta escala para Delta Lake.
  • ▸Trabaja en el camino de escritura principal de datos, con foco en rendimiento, fiabilidad y escalabilidad.
  • ▸Destaca por liderar proyectos técnicos complejos y mentorear a ingenieros junior en un entorno de alta exigencia.

Motivated by delivering customer value and impact.

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¿Qué piden?

  • ✓15+ años de experiencia en sistemas distribuidos a gran escala.
  • ✓Experiencia comprobada en depuración de bajo nivel y optimización de rendimiento.
  • ✓Capacidad para liderar proyectos técnicos complejos con múltiples equipos.
  • ✓Fundamentos sólidos en algoritmos y estructuras de datos.
  • ✓Experiencia en diseño de arquitectura y toma de decisiones estratégicas.
  • ✓Habilidades de mentoría y liderazgo técnico dentro del equipo.

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Delta LakeDatabricks LakehouseLakebaseUnity CatalogGenieLakeflowAgent BricksOpen-sourceDistributed systemsProduction clusters

¿A quién escribirle en databricks?

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P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: • Solve real business needs at large scale by applying your software engineering. • Low level systems debugging, performance measurement, and optimization on large production clusters. • Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. • Introduce tools to allow greater automation and operability of services. • Use your deep experience to help prevent and investigate production issues. • Plan and lead complicated technical projects that work with several teams within the company. • Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: • 15+ years industry experience building and supporting large-scale distributed systems. • Comfortable working towards a multi-year vision with incremental deliverables. • Motivated by delivering customer value and impact. • Strong foundation in algorithms and data structures and their real-world use cases. • Experience driving company initiatives towards customer satisfaction. • BS/MS/PhD in Computer Science or related majors, or equivalent experience. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://

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