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Active15h ago

Senior Staff Software Engineer - IAM

Databricks·📍 Seattle, Washington, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$220.4K – $297.4K/yr

Role overview

Job description

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role t

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Role market pulse

How Software Engineer demand looks in United States

77/100 · rising

Live jobs

1,239

Posted 30d

537

30d movement

+60.8%

Remote share

27.5%

Salary listed

73.9%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Executive Engineering - Pipeline

Databricks logo

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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