Posted by employer 2 years ago
First seen on Joblaze 6 months ago
Last verified on the company career page 20 hours ago
Skills & Technologies
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Staff Software Engineer focused on Identity and Access Management at Databricks, the individual will lead efforts to enhance the security of the company's data infrastructure by identifying vulnerabilities and implementing robust solutions. Candidates should possess extensive experience in data security, particularly in areas like cryptography and Kubernetes security, alongside a strong background in building large-scale distributed systems. This position is ideal for seasoned professionals with leadership capabilities and a passion for high-quality security solutions. Databricks emphasizes a collaborative environment where security engineering plays a pivotal role in m
Joblaze insights
Quick facts
From the original posting
P-1126
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 to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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