senior software engineering Infrastructure Engineer ic
$164,200 – $205,200
USD per year

About this role

Databricks is hiring a senior-level Infrastructure Engineer in the software engineering function based in Mountain View, CA | San Francisco, CA. The posting calls out experience with Java, Scala, AWS, GCP. Compensation is listed at $164,200–$205,200 per year.

Role
Infrastructure Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA | San Francisco, CA
Department
Engineering

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Job description

from Databricks careers

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 Senior Software Engineer 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
  • This is an excerpt. Read the full job description on Databricks careers →
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