Rippling People Center-posted 3 months ago
Full-time • Senior
New York, NY
1,001-5,000 employees
Publishing Industries

We are seeking a highly experienced Staff Security Engineer (L8) to help build out our Privacy Engineering & Response team under the Security organization reporting to our Director of Security Operations. This critical role will be instrumental in safeguarding our data privacy and ensuring compliance with evolving regulatory requirements. You will own data privacy incidents, lead proactive projects to prevent future occurrences, and contribute to our data protection initiatives through automation and system development.

  • Own privacy-related incidents (e.g., data misuse, misdirection of PII/PHI, or regulatory exposure) from identification to resolution.
  • Work cross-functionally with Privacy Legal, Security, and Engineering to manage and mitigate risks.
  • Lead initiatives that reduce or prevent privacy incidents.
  • Define scope, set objectives, and deliver impactful outcomes that scale across the company.
  • Contribute significantly to building out the charter for the Privacy Engineering & Response team.
  • Define the mission, scope, and operational procedures of the team.
  • Play a key role in data protection and data security initiatives by automating processes such as data inventory, data classification, and data tagging.
  • Design and build a system to effectively report data violations.
  • Apply expertise in privacy engineering and regulatory compliance requirements to all aspects of work.
  • Embed privacy-by-design principles into the product development lifecycle.
  • Proven experience in Privacy Engineering, with a track record of measurable impact.
  • Deep understanding of global privacy regulations such as GDPR, CCPA, HIPAA, and LGPD.
  • Excellent collaboration and communication skills.
  • Demonstrated experience in conducting privacy impact assessments (PIAs) and data protection impact assessments (DPIAs).
  • Familiarity with data security best practices, encryption, access control, and secure software development lifecycles.
  • Strong technical skills in Python or Go; experience with AWS and GCP.
  • Familiarity with data infrastructure (e.g., BigQuery, Snowflake, DLP tooling).
  • A proactive and problem-solving mindset.
  • Competitive salary
  • Benefits
  • Equity
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