Responsibilities
- 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
Qualifications
- 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
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