senior Security Engineer tech_leadership
$229,000 – $314,800
USD per year

About this role

Databricks is hiring a senior-level Security Engineer based in Bellevue, WA | Mountain View, CA | San Francisco, CA | Seattle, WA | United States. The posting calls out experience with AWS, GCP, Azure, Spark. Compensation is listed at $229,000–$314,800 per year.

Role
Security Engineer
Function
security
Level
senior
Track
Tech leadership
Employment
Full-time
Location
Bellevue, WA | Mountain View, CA | San Francisco, CA | Seattle, WA | United States
Department
Security

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Job description

from Databricks careers

RDQ127R264

This role is open to remote candidates within the U.S., with a preference for those based in the San Francisco/ Bay Area or Seattle/Bellevue. U.S. citizenship is required.

Databricks is seeking an exceptional and strategic Sr. Staff Security Engineer, Incident Response to join our Incident Response team. This pivotal role will provide decisions that have a direct impact on the long-term success of Databricks' security posture, creating solutions that enable potential future opportunities without a known path. You will play a key role in developing multi-year technology strategy for complete and critical areas of the business, encompassing multiple systems and teams, consistently delivering large-scale projects that meet company goals.

The Incident Response team's mission is to rapidly, efficiently, and standardly respond to security threats, incidents, and investigations to protect our customers, employees, and enterprise data. We leverage Databricks' own platform for near-real-time log analytics, alerting, and forensics, embracing a "Security for Databricks on Databricks" philosophy. As an Sr. Staff Security Engineer, you will tackle the most technical SIRTs, drive complex, open-ended problems with no obvious path to success, act as a multiplier by enabling systems, authoring tools, or introducing policies that elevate the entire organization's productivity.

The impact you will have:

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