Remote Privacy Engineer (AI-Driven SaaS Data Protection)

Ladders

United States

Remote

USD 123.000 - 172.000

Vollzeit

vor 32 Stunden
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

Eine komplette Bewerbung in einer Minute — maßgeschneiderter Lebenslauf und Anschreiben, fertig zum Versenden.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health and dental insurance
Generous PTO
Parental leave
401(k) matching
RSU equity
Volunteer days
Remote-first with travel

Zusammenfassung

Ladders seeks a Privacy Engineer to join a leader in IT, focusing on building workflows that identify and reduce privacy risk earlier in the software development lifecycle. You will partner with engineering teams to strengthen data handling and deliver scalable privacy controls in a modern SaaS environment.

The role uses AI-assisted tooling and backend development to embed compliance-minded solutions into day-to-day engineering work.

Qualifikationen

  • 5-7 years of SaaS or cloud software development experience.
  • Proficiency in Python, TypeScript, or Go for backend services.
  • Experience with large language models and AI frameworks.
  • Understanding of GDPR/CCPA privacy regulations preferred.
  • Ability to own projects from design through delivery.

Aufgaben

  • Design and deploy workflows for privacy engineering processes.
  • Develop AI-assisted tools to identify privacy risks early.
  • Implement and enhance privacy controls for data management.
  • Integrate privacy tooling within existing engineering workflows.
  • Refine data handling practices for logs and telemetry.
  • Streamline manual privacy processes with scalable solutions.
  • Write production-quality code and maintain workflows post-deploy.

Kenntnisse

Backend development
Python
TypeScript
Go
AI/ML frameworks
APIs & databases
Privacy regulations
SaaS/cloud experience

Tools

LLMs

Jobbeschreibung

Ladders seeks a Privacy Engineer to join a leader in IT, focusing on building workflows that identify and reduce privacy risk earlier in the software development lifecycle. You will partner with engineering teams to strengthen data handling and deliver scalable privacy controls in a modern SaaS environment.

The role uses AI-assisted tooling and backend development to embed compliance-minded solutions into day-to-day engineering work.

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