Spotify - Fullstack/Backend Engineer
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Requirements
• You have experience building fullstack applications using modern frameworks and technologies • You are comfortable working across backend and frontend systems, and enjoy owning problems end-to-end • You have experience with APIs, distributed systems, and data-driven applications • You understand how to design clean, maintainable, and scalable code • You are curious about AI/ML and have worked with or are excited to work with LLM-powered systems • You care about user experience and strive to make complex workflows feel simple and intuitive • You have 3+ years of professional software engineering experience • You collaborate effectively with cross-functional partners and value shared ownership • Where You'll Be • This role is based in 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. • 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.
Responsibilities
• Build and ship end-to-end features for conversational analytics products, from backend services to intuitive frontend interfaces • Design and develop AI-native workflows that allow users to query and explore data using natural language • Collaborate with product managers, designers, and data teams to turn complex problems into simple, scalable solutions • Contribute to system architecture decisions, ensuring performance, reliability, and scalability • Integrate LLMs and other AI capabilities into production systems in a responsible and thoughtful way • Improve developer experience and tooling to enable faster iteration and experimentation • Take ownership of features from idea through launch and iteration, focusing on real user impact
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