Databricks

Technology

StaffSoftwareEngineer,ComputeInfrastructure

$250–400k ~AI est. Mountain View, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Software Engineer, Compute Infrastructure at Databricks. Skills: Compute infrastructure, Distributed systems, Cloud platforms. Design compute abstractions. Develop compute abstractions”

Industry & Context.

Technology

What They're Looking For.

Must Have

BS in Computer Science or related field, 10+ years of experience, Proficiency in Java, Scala, Go, or C++, Experience with service-oriented architectures, Experience with large scale distributed systems, Familiarity with cloud platforms (AWS, Azure, GCP), Familiarity with container/orchestration technologies (Kubernetes, Docker), Track record of shipping infrastructure

Nice to Have

Higher degree in Computer Science

What You'll Do.

Design compute abstractions

Develop compute abstractions

Design workload orchestration systems

Design scheduling systems

Scale fleet management systems

Launch millions of VMs

Configure millions of VMs

Raise operational bar

Lead cross-team initiatives

How You'll Work.

Team & Collaboration

Cross-team initiatives

Full Job Description

RDQ427R175 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. 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. As a Staff Software Engineer and Tech Lead on the Compute Infra team, you will design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products. The impact you will have: Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset. Lead cross-team initiatives that span product and infrastructure surface areas. What we look for: BS (or higher) in Computer Science or related field 1

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