Security Engineer - Product Security
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 20d ago
The date the source published, not the day we noticed it (2026-10-16). Last seen at its source 1h ago.
We have tracked this listing since 4 Nov 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Toronto, United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $155k–225k/yr
Middle 50% of 5452 listings that do state pay — Engineering · all levels · North America · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 1d ago · last seen 1h ago
- location Toronto, New York, NY, United States
The listing
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
Security engineers at Spotify help protect our environment and more than 700 million users. Within Platform, our Product Security team evaluates and communicates Spotify's security posture, helping developers and leadership make informed decisions about security risks. We own the vulnerability management platform, supporting the full lifecycle of identifying, attributing, remediating, and reporting security vulnerabilities.
As AI changes how vulnerabilities are discovered and exploited, we're evolving how Spotify responds. We're looking for a Security Engineer to help transform vulnerability findings into reliable, actionable code improvements using agentic AI. You'll build the tools, workflows, and evaluation frameworks that make automated remediation more effective, scalable, and safe, while helping developers focus on building great experiences for our users.
What You'll Do
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Build and improve agentic AI workflows that turn security vulnerability findings into tested, review-ready code changes for engineering teams across Spotify.
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Design and implement evaluation frameworks to measure the quality of automated fixes, including correctness, completeness, safety, build and test success, and pull request merge rates.
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Develop tools and processes to compare remediation approaches, evaluate AI models, and continuously improve the reliability and effectiveness of generated fixes.
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Research and apply emerging practices in AI-assisted vulnerability remediation, including prompt engineering, context engineering, and vulnerability-specific fix guidance.
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Identify which vulnerability types are suitable for automated remediation, balancing security impact, technical feasibility, and developer experience.
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Collaborate with developers and security stakeholders to collect feedback through code reviews, pull requests, support channels, and interactive sessions, using these insights to improve remediation quality.
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Help shape how Spotify approaches security posture management by building scalable solutions that reduce security risks and make it easier for teams to address vulnerabilities.
Who You Are
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You have experience in software engineering, particularly within security engineering, developer experience, or internal infrastructure.
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You can confidently read, understand, and write code in one or more languages such as Java, Python, Scala, C++, or TypeScript.
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You have experience designing and building scalable systems, with an understanding of software architecture and reliable engineering practices.
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You have worked with agentic AI systems or AI-assisted development workflows and understand how to apply them to real-world engineering challenges.
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You understand common security risks, attack vectors, and vulnerabilities, including those affecting AI and machine learning systems, and approaches to mitigating them.
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You have experience integrating security tools or automated workflows into production engineering environments.
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You are familiar with agentic AI frameworks and approaches to evaluating the quality, reliability, and safety of AI-generated outputs.
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You enjoy collaborating across teams, learning from feedback, and navigating ambiguity. You're comfortable experimenting with new approaches while balancing innovation with thoughtful security decisions.
Where You'll Be
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This role is based in Toronto
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We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.