Backend Engineer - Platform

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.

Starfleet sits at the heart of Spotify’s developer experience evolution. We build and operate critical internal platforms like Fleetshift — the engine powering large-scale automated code refactoring across Spotify — and Production Policy Enforcer, which secures and streamlines our production fleet. Now, we’re leading one of the most transformative shifts in Spotify’s engineering culture: migrating from a polyrepo ecosystem to a unified monorepo model.

This is not just a tooling migration. It’s a rethinking of how thousands of engineers build, test, and ship software every day. As part of Starfleet, you’ll help shape the foundation of Spotify’s engineering future.

What You'll Do

• Contribute directly to Spotify’s monorepo migration by building and evolving core tooling and infrastructure
• Solve complex integration challenges across CI/CD systems, dependency management, and developer workflows
• Maintain and enhance high-impact internal platforms such as Fleetshift and Production Policy Enforcer during the transition away from legacy systems
• Design and implement reliable, testable, and maintainable backend systems, primarily in Java
• Own end-to-end solutions from technical design through delivery and operational excellence
• Lead smaller technical initiatives within the squad, coordinating efforts and driving alignment to completion
• Partner closely with stakeholders across the Platform Mission to ensure our monorepo strategy meets the diverse needs of Spotify’s engineering community
• Reduce developer toil by automating workflows and enabling scalable, self-service infrastructure

Who You Are

• You have experience building backend systems in modern programming languages such as Java
• You are comfortable working across multiple systems and navigating complex distributed architectures
• You know how to independently drive scoped technical problems from design through implementation
• You care deeply about developer experience, automation, and reducing friction for other engineers
• You are experienced with infrastructure, DevOps, or cloud-native environments such as Google Cloud Platform or Kubernetes
• You take a collaborative approach and prioritize squad success over individual recognition
• You approach challenges with curiosity and resilience, viewing setbacks as learning opportunities
• You understand how technical decisions impact the broader engineering organization and strive to build scalable, long-term solutions

Where You'll Be

• This role is based in Toronto.
• 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.

The Canada base range for this position is $103,321 – $147,602 CAD plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here:

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