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Databricks

Director of Engineering, AI Compute Platform

Databricks, San Francisco, California, United States, 94199


At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

If you are looking for an unparalleled opportunity to build the next generation data processing platform, serving modern data engineering and AI use cases over millions of VMs launched daily, and learn how to do this at scale with reliability, efficiency, and excellent customer experience – you have come to the right place. The platform team builds and manages the core systems powering Databricks, allowing it to seamlessly scale and run across various geographic regions/clouds, and making Databricks the go-to product for big data processing in the cloud.

As an Engineering Director on the Platform team at Databricks, you will lead your team to build an available, scalable and reliable platform that is necessary to the business. You will be responsible for delivery of products and features shipped by your team. You will work with engineers and customers to help ensure that we continue to build excellent products with new and improved features.

The impact you will have:

Hire great engineers to build an outstanding team

Support engineers in their career development by providing clear feedback and developing engineering leaders

Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)

Work with engineering and product leadership to build a long-term roadmap

Coordinate execution and collaborate across teams to unblock cross-cutting projects

What we look for:

Great at hiring and developing talent, especially leadership

Great at creating efficient processes that increase velocity and quality

Managed teams that build and operate high-volume distributed systems in a SaaS environment

15+ years of industry experience building and supporting large-scale distributed systems

5+ years of experience with distributed systems and building services on top of containers

Have experience scaling engineering teams from 5 to 30+

Team player that will work with other departments (PM, Sales, CS)

BS or higher in Computer Science, or a related field

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