As a Senior Backend Engineer, you'll build and scale backend platforms for AI systems, design infrastructure, develop evaluation frameworks, and improve developer workflows at Spotify.
At Spotify, we build tools that help teams do their best work. The AiKA squad is focused on shaping the future of AI-powered knowledge and autonomous agents across the company.
We create the foundations that support Spotify’s growing ecosystem of internal AI agents and Model Context Protocol (MCP) servers. This includes the infrastructure, standards, and tooling needed to make these systems reliable, safe, and scalable. As this space evolves, we’re helping define how enterprise AI platforms are built and used in practice.
As a Senior Backend Engineer in Platform Developer Experience, you’ll help shape the future of how AI agents are developed, evaluated, and operated at Spotify. You’ll work across teams and technologies to build shared infrastructure, improve developer workflows, and enable engineers to build AI-powered systems with confidence.
What You'll do
- Build and scale backend platforms that power AI agents and MCP servers across Spotify
- Design reliable infrastructure for orchestration, lifecycle management, monitoring, and deployment of AI-powered systems
- Define platform standards, tooling, and best practices that support secure, scalable, and high-quality agent development
- Develop evaluation frameworks including automated testing pipelines, benchmarks, and quality metrics for AI systems
- Improve observability through monitoring, logging, tracing, and performance analysis across distributed systems
- Build APIs, SDKs, templates, and self-service tools that improve the developer experience for teams building with AI
- Partner with engineers and cross-functional teams across Spotify to align on architecture, platform capabilities, and operational excellence
- Contribute to technical direction and help evolve the foundations of Spotify’s internal AI ecosystem
Who You Are
- You have experience building and operating large-scale backend or platform infrastructure in cloud-native environments
- You are experienced with Kubernetes, distributed systems, and modern infrastructure tooling
- You understand how AI agents, orchestration frameworks, and LLM-powered applications work in production environments
- You know how to design testing strategies, evaluation frameworks, and quality measurements for complex systems
- You have experience building APIs, developer platforms, integration layers, or connectivity protocols at scale
- You are comfortable working with observability tooling and improving reliability, scalability, and system performance
- You write clean, maintainable code in languages such as Python or TypeScript
- You communicate clearly, collaborate effectively across teams, and enjoy solving problems with others
- You care about creating intuitive developer experiences and enabling teams to move faster with confidence
Where You'll Be
- This role is based in London or Stockholm
- 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.
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.
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