Security Engineer – Product Security

🕒 January 28

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Logo of Spotify

Spotify

WebsiteLinkedIn

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Champion and contribute to the development and implementation of security best practices, standards, and automated tooling for secure development and deployment within Spotify's infrastructure, including AI-driven development. • Partner closely with teams across the company to integrate security seamlessly into their development lifecycle, from ideation to deployment and monitoring. • Consult, evangelize, and teach theoretical and practical security to groups of varying sizes, disciplines, and experience levels. • Drive cross-disciplinary initiatives to improve the security of our engineering ecosystem and the products developed at Spotify. • Conduct threat modeling, security reviews, and risk assessments for Spotify's diverse range of generative AI and non-AI systems. • Evaluate, prototype, and integrate specialized security tools for AI/ML systems. • Stay ahead of the curve on the rapidly evolving landscape of AI security threats, academic research, vulnerabilities, and mitigation strategies relevant to Spotify's scale and domain. • Contribute to security incident response activities involving AI systems.

🎯 Requirements

• Hands-on technical experience with software security. • You are comfortable writing code to integrate security tools and automate your work with modern software development practices. • Security expertise in one or more domains, such as backend, mobile, web, and machine learning. • Strong foundation in core security domains such as cryptography, cloud security and application security. • You are comfortable working with diverse stakeholders and explaining security concepts to non-expert audiences. • You have experience from working in agile environments and easily adapt to change, enjoy challenges and thrive in ambiguity. • Ability to read and write code in languages such as Java, Python, Scala, C++ and TypeScript. • Experience with generative AI tools for common software engineering tasks. • Good understanding of common 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

• Flexible working hours • Professional development opportunities

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