Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Champion and implement security best practices, standards, and automated tooling for secure development and deployment across Spotify’s infrastructure.
  • Partner with engineering teams to integrate security throughout the development lifecycle, from ideation through deployment and monitoring.
  • Consult with, evangelize to, and teach teams on theoretical and practical security topics across different disciplines and experience levels.
  • Drive cross-functional initiatives to improve the security of Spotify’s engineering ecosystem and products.
  • Conduct threat modeling, security reviews, and risk assessments for generative AI and non-AI systems.
  • Evaluate, prototype, and integrate security tools for AI/ML systems.
  • Stay current on AI security threats, academic research, vulnerabilities, and mitigation strategies relevant to Spotify’s scale.
  • Contribute to security incident response activities involving AI systems.
  • Represent security in engineering and business contexts and communicate clearly with technical and non-technical stakeholders.

Requirements

  • Hands-on technical experience in software security.
  • Ability to write code to integrate security tools and automate work using modern software development practices.
  • Security expertise in one or more domains such as backend, mobile, web, or machine learning.
  • Strong foundation in cryptography, cloud security, and application security.
  • Ability to communicate security concepts to diverse, non-expert audiences.
  • Experience working in agile environments and adapting to change.
  • Ability to read and write code in languages such as Java, Python, Scala, C++, or TypeScript.
  • Experience using generative AI tools for common software engineering tasks.
  • Good understanding of security risks, attack vectors, and vulnerabilities specific to AI/ML systems, and how to mitigate them.
  • Demonstrable experience with security research on AI/ML systems and applications.
  • Experience integrating security tooling into production systems at scale.
  • Familiarity with common agentic AI frameworks.

Benefits

  • Remote work flexibility with the option to work from home.
  • Role based in either London or Stockholm.
  • Some in-person meetings with flexibility in where you work best.
  • Inclusive and accessible hiring process with reasonable accommodations available.
  • Equal opportunity employer committed to inclusivity and representation.

Interested in this position?

Apply directly on the company website

Apply Now

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