Spotify - Full Stack Engineer

• Build, maintain, and evolve backend services and APIs that support advertising data platforms, content and ad categorization, and AI-powered initiatives. • Lead development on front-end products owned by the squad, including tools for moderation, review, and advertiser-facing workflows. • Build and support an annotation application that allows moderators to flag sensitive podcast content, enabling trust and safety at scale. • Deliver UX optimizations that improve ad and content review efficiency and effectiveness. • Develop interfaces that allow advertisers and internal users to interact with AI-powered creative and categorization systems. • Collaborate with engineering squads across Spotify to provide high-quality data solutions, shared knowledge, and best practices. • You are an experienced Full Stack Engineer with 5+ years of professional experience • You have experience building and maintaining APIs and services at scale. • You have strong experience with Java and Spring • You have strong experience with JavaScript. Additional experience with tools and technologies such as ReactJS, NodeJS, NextJS, and GraphQL are a plus. • You have some experience with data engineering concepts and tools (e.g., Scala, large-scale data pipelines). • You have experience with GCP, distributed systems, machine learning platforms, or generative AI integrations • You have a strong grasp of design patterns, data structures, and distributed and web architectures. • You care deeply about observability, reliability, and quality, and you apply engineering best practices including testing automation. • You have experience leading or contributing to large codebase refactors, including microservices or micro-frontend architectures. • You are autonomous, take ownership of your work, and actively drive your personal growth. • You value team success over personal success and enjoy uplifting and mentoring other engineers. • You are a strong communicator and empathetic collaborator who can anticipate partner needs and work effectively across disciplines. • We offer you the flexibility to work where you work best! For this role, it can be within the North America region in which we have a work location. • This team collaborates across the Eastern Standard time zone, Pacific Standard time zone, and Australian Eastern time zone.