G
New
1 week ago
Job Summary
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.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 5 years
Job Description/Requirements
What You’ll Do:
- 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 bring:
- Proven experience in data security engineering and a strong background in deploying secure data solutions across different environments (public cloud, on-prem, etc.).
- Senior-level experience in software engineering in at least one primary programming language (Ruby, Python, NodeJS, or GoLang).
- Deep understanding of authn, authz, encryption,data sanitization, data loss prevention and disaster recovery practices
- Hands-on experience with a diverse set of data technologies, including object storage, relational/non-relational databases, key-value stores, message queues, etc.
- Familiarity with regulatory compliance and data protection standards (GDPR, CCPA, FedRAMP, HIPAA, etc.).
- Strong analytical and problem-solving skills, with the ability to reason about complex data security challenges.
- Excellent communication skills, capable of working collaboratively in a fully remote, globally distributed team.
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