Build agentic AI workflows as a Product Security Engineer at Spotify in Toronto, transforming vulnerabilities into tested code improvements. Flexible home working includes some in-person meetings.

Within Spotify’s Platform Product Security team, you will improve vulnerability remediation for engineering teams. The work combines software engineering, security engineering, AI-assisted development, scalable systems, and evaluation frameworks. You will help make automated fixes more reliable, protected, and actionable for developers.

Key Responsibilities:

- Build agentic AI workflows for tested security fixes
- Design evaluation frameworks for automated remediation quality
- Compare remediation approaches and evaluate AI models
- Research prompt and context engineering practices




- Identify vulnerabilities suitable for automated remediation

Requirements:

- Experience in software, security, developer experience, or infrastructure engineering
- Ability to write Java, Python, Scala, C++, or TypeScript
- Experience designing scalable systems and reliable architecture
- Experience with agentic AI or AI-assisted development workflows
- Understanding of vulnerabilities, attack vectors, and mitigation approaches

Bring security engineering, agentic AI, and scalable systems experience to improve Spotify’s vulnerability remediation in Toronto.

📌 Product Security Engineer AI Remediation (Toronto)
🏢 Spotify Los Angeles
📍 Toronto