P-931
At Databricks we are passionate about helping data teams solve the worlds 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 worlds 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 were only getting started.
At Databricks the Compute Infrastructure organization builds and operates the foundation that runs all Data AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day operates thousands of Kubernetes clusters and must deliver extreme elasticity reliability and cost efficiency.
We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity customer experience and the companys ability to scale.
The impact you will have:
- Own and evolve the compute platform to support all Databricks workloads enabling engineers to build world-class products with high velocity and best-in-class performance.
- Hire exceptional engineers and invest in their growth through coaching feedback and career development.
- Raise the technical and operational bar through strong design practices testing and a culture of engineering excellence and platform mindset.
- Partner with engineering and product leadership to define long-term strategy and roadmaps.
- Lead cross-team initiatives that span product and infrastructure surface areas.
- Influence architectural decisions beyond your immediate team.
What we look for:
- 10 years of experience building and operating large-scale distributed systems including strong practices around testing monitoring and reliability.
- 3 years of engineering management experience leading high-performing teams.
- Deep expertise in cloud infrastructure (AWS Azure GCP) and containerized environments (Kubernetes) is preferred.
- Proven ability to collaborate across engineering product and business stakeholders.
- Experience scaling teams and systems through rapid growth.
- BS MS or PhD in Computer Science or related field or equivalent experience.
Required Experience:
Manager
P-931At Databricks we are passionate about helping data teams solve the worlds 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 worlds best data and AI infrastructure platform so ...
P-931
At Databricks we are passionate about helping data teams solve the worlds 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 worlds 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 were only getting started.
At Databricks the Compute Infrastructure organization builds and operates the foundation that runs all Data AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day operates thousands of Kubernetes clusters and must deliver extreme elasticity reliability and cost efficiency.
We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity customer experience and the companys ability to scale.
The impact you will have:
- Own and evolve the compute platform to support all Databricks workloads enabling engineers to build world-class products with high velocity and best-in-class performance.
- Hire exceptional engineers and invest in their growth through coaching feedback and career development.
- Raise the technical and operational bar through strong design practices testing and a culture of engineering excellence and platform mindset.
- Partner with engineering and product leadership to define long-term strategy and roadmaps.
- Lead cross-team initiatives that span product and infrastructure surface areas.
- Influence architectural decisions beyond your immediate team.
What we look for:
- 10 years of experience building and operating large-scale distributed systems including strong practices around testing monitoring and reliability.
- 3 years of engineering management experience leading high-performing teams.
- Deep expertise in cloud infrastructure (AWS Azure GCP) and containerized environments (Kubernetes) is preferred.
- Proven ability to collaborate across engineering product and business stakeholders.
- Experience scaling teams and systems through rapid growth.
- BS MS or PhD in Computer Science or related field or equivalent experience.
Required Experience:
Manager
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