senior operations Network Engineer ic
$166,000 – $225,000
USD per year

About this role

Databricks is hiring a senior-level Network Engineer in the operations function based in Mountain View, CA. The posting calls out experience with Python, Java, Scala, Spark. Compensation is listed at $166,000–$225,000 per year.

Role
Network Engineer
Function
operations
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA
Department
Engineering

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Job description

from Databricks careers

(P-1286)

At Databricks, we are passionate about enabling data teams to 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.

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.

This is an excerpt. Read the full job description on Databricks careers →
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