Staff Data Security Engineer

The GitLab DevSecOps platform empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the world’s largest all-remote companies with 2,000+ team members and values that foster a culture where people embrace the belief that everyone can contribute. Learn more about Life at GitLab.

An overview of this role

Data is a critical part of how GitLab provides value to organizations across the globe. Whether we’re talking about software versioned through git and the infinitely diverse conversations that customers have through GitLab issues or the data architectures that enable our AI capabilities, the constant is the need to ensure the confidentiality, integrity, and availability (CIA) of the data customers trust us to protect. In this foundational role, you’ll be responsible for helping set and implement the technical strategy for how GitLab safeguards data within its platform across our three core deployment models: SaaS, Dedicated (single tenant SaaS), and on-prem. 

What you’ll do  

• Design and develop comprehensive authentication and authorization frameworks for critical data stores within our SaaS, Dedicated architectures, and other customer-facing applications (like version.gitlab.com and customers.gitlab.com).
• Read about our architecture in our docs.
• Help address data infrastructure security challenges for on-premise deployment models.
• Ensure the overarching security of data infrastructure supporting diverse deployment/product architectures, including:
• Relational and non-relational databases
• Object storage (S3, Minio, etc)
• Clickhouse (read more).
• Git repository data (read more)
• Contribute with security improvements and reviews for Gitaly - Built and maintained by GitLab for git repository storage and retrieval at scale (read more)
• Design and develop paved roads for engineering teams for encryption of data in transit and at rest.
• Design and help implement controls to prevent the commingling of different data types, maintaining appropriate data segregation and integrity.
• Define protocols and guardrails for internal engineering and support teams when needing access to customer data, ensuring ethical and secure handling.
• Help lead initiatives for data sanitization to prevent triangulation of individual identities, ensuring privacy and compliance with data protection laws.
• Design, develop, and improve solutions for Data Loss Prevention
• Design, develop, and improve solutions for Backups and Disaster Recovery
• Collaborate across product and engineering teams to continuously improve our data security practices and policies.

What you’ll …