Data Loss Prevention Specialist
1 month ago
We are seeking a highly skilled Data Loss Prevention Specialist to join our team at TikTok. The successful candidate will be responsible for supporting our Data Loss Prevention (DLP) technology solutions to protect our data across servers, endpoints, and cloud environments.
Key Responsibilities- Support the implementation and maintenance of DLP technology solutions to protect TikTok data
- Collaborate with cross-functional teams to ensure proper maintenance of DLP infrastructure
- Design and configure DLP endpoint agent software packages
- Investigate and improve detection technologies focused on theft or loss of consumer data, employee data, business sensitive data, and/or intellectual property
- Support any DLP-related audit or controls testing processes
- Bachelor's Degree or industry equivalent work experience in cybersecurity, security architecture, and/or engineering in a converged security program
- At least 2 years of experience in Information Security; Security Operations, Data Loss Prevention, Insider Risk
- 1+ years of experience developing and responding to DLP alerts or deploying and maintaining DLP systems
- Experience working with enterprise data protection technologies such as DLP (Endpoint, Network and Email), User Behavior Analytics (UBA), and Cloud Access Security Brokers (CASB)
- Ability to effectively communicate the business value of the DLP program to executive stakeholders
- Ability to work as a member of a cross-functional team focused on aligning and supporting the organization's security goals
- Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), AWS Certification, GIAC Security Operations Certified (GSOC), GIAC Security Essentials (GSEC), Security+ Certification or applicable experience in the field of Information Security
- Familiarity with source code management tools (e.g., Github, Bitbucket)
- Experience with endpoint configuration tools, Managed Device platforms (Jamf, Workspace ONE)
- Familiarity with securing data across SaaS and IaaS cloud platforms (e.g., AWS, Google Cloud Platform)
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