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Backend Engineering Manager

DatabricksAmsterdam, Netherlands
On-site Full-time

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Experience Level

Manager

Qualifications

The impact you will have:Recruit exceptional engineers to assemble a stellar team. Support engineers in their professional growth by providing constructive feedback and fostering engineering leadership. Maintain high technical standards by implementing processes (like architecture reviews and testing) and cultivating a culture of engineering excellence. Collaborate with engineering and product leadership to devise a long-term strategic roadmap. Coordinate project execution and facilitate collaboration across teams to resolve cross-functional challenges. What we look for:Proven experience with large-scale distributed web services and associated processes for testing, monitoring, and maintaining SLAs. Ability to partner with PM, Sales, and Customers to create innovative features. Bachelor's degree (or higher) in Computer Science or a related field. A minimum of 5 years in engineering roles with at least 2 years in engineering management.

About the job

At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world—ranging from transforming transportation technology to expediting medical innovations. By creating and managing a premier data and AI infrastructure platform, we enable our clients to leverage profound data insights to enhance their operations. Born from engineering expertise and driven by a customer-first approach, we eagerly confront technical challenges, whether it's crafting next-generation UI/UX for data interaction or expanding our services across millions of virtual machines. Our journey has just begun.

As an Engineering Manager, you will lead your team in constructing infrastructure and products for the Databricks platform at scale. Our diverse teams are focused on various domains:

  • Managing resource infrastructure that supports extensive big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic manner.
  • Developing reliable, scalable services and client libraries that handle vast amounts of data on the cloud across multiple geographic regions and cloud providers.
  • Creating tools that empower Databricks engineers to operate their services seamlessly across different cloud environments.
  • Building services, products, and infrastructure that lie at the nexus of machine learning and distributed systems.

About Databricks

Databricks is the leading data and AI company. We serve over 10,000 organizations globally, including prominent names like Comcast, Condé Nast, and Grammarly, helping them unlock the full potential of their data.

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