Product Security Engineer: AI-Driven Security & DevSecOps

Product Security Engineer: AI-Driven Security & DevSecOps

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Spotify

At a Glance

  • Tasks: Enhance security practices and support over 700 million users with AI-driven solutions.
  • Company: Join Spotify, a leader in music streaming with a focus on security and innovation.
  • Benefits: Flexible work environment, remote options, and a diverse, inclusive culture.
  • Other info: Collaborative atmosphere with opportunities for personal and professional growth.
  • Why this job: Make a real impact on user security while working with cutting-edge AI/ML technologies.
  • Qualifications: 3+ years in security engineering, coding skills, and expertise in AI/ML and cloud infrastructure.

The predicted salary is between 60000 - 80000 Β£ per year.

Spotify is looking for a Security Engineer to enhance security practices and support over 700 million users. The role involves collaboration across product and infrastructure teams to ensure secure systems.

The ideal candidate has 3+ years in security engineering, is skilled in coding, and has expertise in AI/ML systems and cloud infrastructure.

The position allows for a flexible work environment with options to work from home, encouraging a diverse and inclusive culture.

Product Security Engineer: AI-Driven Security & DevSecOps employer: Spotify

Spotify is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee well-being and growth. With flexible working options and a commitment to diversity, employees are empowered to thrive while contributing to the security of over 700 million users. The company fosters continuous learning and collaboration, making it an ideal place for those passionate about AI-driven security and DevSecOps.

Spotify

Contact Details:

Spotify Recruitment Team

We think you need these skills to ace Product Security Engineer: AI-Driven Security & DevSecOps

Security Engineering
Coding Skills
AI/ML Systems Expertise
Cloud Infrastructure
Collaboration
Flexible Work Adaptability
Diversity and Inclusion Awareness