Spotify - Fullstack Engineer – Platform Developer Experience

• Help define and deliver Spotify’s AI developer experience by authoring and evolving agent context • Contribute to skills and workflows that make agent behavior more reliable, predictable, and useful in production environments • Work on context services built on modern model-to-tool protocols (e.g., MCP) to support AI-driven systems. • Build and improve the TechDocs platform experience, including its supporting services and tooling (e.g., MkDocs-based build containers and the documentation-serving backend proxy) • Build and operate developer tooling that is easy to adopt, including CLI-driven onboarding • Debug and resolve issues across the stack, from local developer environments to CI pipelines, containerized builds, and cloud-hosted services • Take operational responsibility for services and tooling owned by the team, which may include participating in an on-call rotation • Collaborate with engineers and stakeholders across Spotify to understand pain points and deliver improvements that scale across teams • Promote sound engineering practices such as testing, incremental rollouts, reliability, and clear documentation • 1+ years of experience working with TypeScript and Node. • Exposure to building or integrating LLM-powered coding agents, including tool use, planning loops, and multi-step workflows. • Familiarity with search design patterns (e.g., vector search systems, elasticsearch, indexing strategies) • Experience designing and operating distributed systems, and deploying services using containerized tooling (e.g., Docker, Kubernetes). • Experience working with containerized tooling • Strong software engineering fundamentals and experience shipping well-scoped features end-to-end • Clear written communication skills and the ability to create structured, actionable documentation • You Might Also Have: • Experience building tools or platforms used by other engineers. • Familiarity with developer portals, plugins, or internal platform tooling. • Experience with MkDocs or docs-as-code workflows. • Exposure to GCP services related to artifact storage or content delivery. • Experience working with AI-assisted tooling, agent frameworks, or deterministic tool integrations. • This role is based in New York, NY • 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. We ask that you come in 3 times per week.