manager software engineering Engineering Manager hybrid
$217,100 – $298,550
USD per year

About this role

Databricks is hiring a manager-level Engineering Manager in the software engineering function based in McLean, VA. The posting calls out experience with AWS, GCP, Azure, Spark. Compensation is listed at $217,100–$298,550 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
McLean, VA
Department
Engineering

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Job description

from Databricks careers

RDQ427R268

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. Founded by engineers and driven by customer obsession, we leap at every opportunity to tackle 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.

Customers trust Databricks with their most sensitive data and workloads, and Security Infrastructure Operations (SIO) is the team that sustains and improves Databricks' cloud security posture across every cloud service provider we operate in. We are looking for a Senior Engineering Manager to lead this team and drive the strategy for how cloud identity, access, and environment changes are reviewed, executed, and automated at scale. You will own the operational backbone of Databricks' cloud security, spanning IAM policy enforcement, CSP account provisioning, compliance evidence collection, and security data pipelines. Your goal is to ensure that Databricks engineers can move fast without compromising security. This is a high-visibility, cross-functional leadership role that partners with Security, Security Engineering, IT and engineering teams across the company.

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