remoteonsite
Legal Tech & Privacy Automation Engineer 12-Month FTC - UNiDAYS
QA Engineer
Lead the design and implementation of LLM‑driven automation pipelines for global privacy compliance, building scalable, containerized solutions on AWS while ensuring robust CI/CD and data protection best practices.
About the role
Key Responsibilities
- Architect and develop end‑to‑end LLM‑driven pipelines to automate Data Protection Impact Assessments and other privacy workflows.
- Design and maintain containerized services (Docker) deployed on AWS, ensuring high availability and scalability.
- Implement CI/CD pipelines for rapid, reliable delivery of new features and model updates.
- Collaborate with legal, privacy, and product teams to translate regulatory requirements into technical solutions.
- Monitor, troubleshoot, and optimize pipeline performance, incorporating feedback loops for continuous improvement.
Requirements
- Proven experience building production‑grade ML/LLM pipelines in Python.
- Strong knowledge of AWS services (Lambda, ECS/EKS, S3, Step Functions) and container orchestration.
- Hands‑on experience with CI/CD tools (GitHub Actions, Jenkins, or similar).
- Deep understanding of privacy regulations (GDPR, CCPA) and Data Protection Impact Assessment processes.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonllmawsdockercicd