--- title: 'Staff Backend Engineer - Content Platform at Spotify' canonical: 'https://feeny.ai/job/staff-backend-engineer-content-platform-spotify-london-xsqzks8bz5e5' type: 'job' last_seen: '2026-11-07' --- # Staff Backend Engineer - Content Platform at Spotify - **Company:** Spotify - **Location:** London, United Kingdom - **Work type:** hybrid - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-07 - **Apply:** https://jobs.lever.co/spotify/4c0aa107-bdb7-4061-b2c7-be616e059340 ## Job description We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. Policy & Safety (P&S) is a domain within Content Platform in the Experience Mission, responsible for building Spotify’s content moderation and regulatory compliance infrastructure. This includes rule engines, enforcement pipelines, policy configuration systems, and compliance data platforms that ensure safety at scale. The team operates at the intersection of backend platform engineering, machine learning systems, and regulatory compliance, partnering closely with Licensing, Trust & Safety, Legal, and Public Affairs. Sitting on the critical path for every new content type and feature, P&S enables safety-by-default experiences while supporting global regulatory requirements and evolving product innovation. ## What you'll Do - Define the technical direction for policy enforcement infrastructure - Architect enforcement capabilities as a shared platform designed to be consumed by multiple product teams rather - Design and evolve multi-signal orchestration systems that enable configurable, auditable policy enforcement at scale across content types and product surfaces - Build the data foundation that makes enforcement decisions durable and reusable - Own the hardest API and contract decisions: schema design, versioning strategy, and how enforcement interfaces evolve without breaking the teams that depend on them - Establish integration standards for teams onboarding onto shared enforcement infrastructure, and work directly with consuming teams to execute migrations with clean cutoffs and clear end states - Influence architecture across detection, signal processing, and enforcement workflows so that the underlying primitives stay coherent as the platform scales - Mentor engineers and set the bar for how the team reasons about API design, data modeling, and the downstream compliance consequences of infrastructure choices ## Who You Are - Deep experience designing and operating large-scale distributed systems, APIs, event-driven pipelines, rule engines, and decision systems running in production across high-throughput environments - Proficient in backend engineering at scale, with strong command of languages like Java, Kotlin, Go, or similar; comfortable owning data models, service contracts, and storage layer decisions - Experienced with stream processing and event-driven architectures  (Kafka, Pub/Sub, or equivalent) and the tradeoffs between batch and real-time enforcement pipelines - You have designed systems where schema and contract stability matter as much as correctness - Experienced with workflow orchestration and distributed coordination, whether through dedicated orchestration frameworks like Temporal or Airflow, choreography-based event systems, or hybrid approaches, and understand the tradeoffs between each in the context of long-running, stateful enforcement workflows - Experienced with relational and non-relational storage systems and know how to model enforcement data for auditability, immutability, and efficient querying at scale - You understand platform engineering patterns: multi-tenant APIs, configurable rule engines, policy-driven actioning systems, and the difference between building for one team and building for many - Familiar with observability and operational excellence, distributed tracing, structured logging, alerting, and the tooling that makes enforcement systems debuggable and auditable in production - You have worked in regulated or compliance-adjacent environments and understand how infrastructure design decisions, log retention, schema choices, data lineage, carry legal and audit consequences - You are comfortable in polyglot environments and can navigate existing systems thoughtfully rather than defaulting to greenfield rewrites - You think in systems end-to-end 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. ## About Spotify ## Company Overview - **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets. - **Entity Type**: Public (NYSE: SPOT) - **Headquarters**: Stockholm, Sweden - **Founded**: 2006 - **Founders**: Daniel Ek and Martin Lorentzon ## Core Business - Primary industry: Audio streaming and digital media - Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists) - Mission: "To deliver creativity to the world—one note, one voice, one idea at a time." ## Products & Services - **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks - **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening - **Spotify for Artists**: Analytics, promotion, and monetization tools for creators - **Spotify Advertising**: Programmatic and self-serve ad platform for brands - **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022) ## Market Standing - **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29) - **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot. - **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013). - **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers. ## Competitive Advantages - Scale: largest audio streaming subscriber base globally - Data and AI personalization: mature recommendation engines and AI-driven discovery - Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app - Strong brand recognition and deep creator relationships ## Strategic Focus - AI-powered personalization and generative audio tools - Audiobook market expansion - Podcast ecosystem growth - Creator monetization and artist tools ## Why Work Here - Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5) - **Work ## Other roles at Spotify - [Account Executive - Commercial, Spotify Technology](https://feeny.ai/job/account-executive-commercial-spotify-technology-spotify-london-6yqgfwkp7wmb) — London, United Kingdom - [Machine Learning Engineer - Subscriptions](https://feeny.ai/job/machine-learning-engineer-subscriptions-spotify-london-fbsgsbqz0vrg) — London, United Kingdom - [Revenue Operations Manager - Spotify Technology](https://feeny.ai/job/revenue-operations-manager-spotify-technology-spotify-london-ej8253p31kdw) — London, United Kingdom - [Account Executive - Commercial, Spotify Technology](https://feeny.ai/job/account-executive-commercial-spotify-technology-spotify-toronto-grwrwr66166c) — Toronto, Canada - [Account Executive - Commercial, Spotify Technology](https://feeny.ai/job/account-executive-commercial-spotify-technology-spotify-new-york-pevmeqk7rnpx) — New York, NY - [Account Executive - Enterprise, Spotify Technology](https://feeny.ai/job/account-executive-enterprise-spotify-technology-spotify-new-york-4h9yk83y7b84) — New York, NY - [Sales Manager, Enterprise — Spotify Technology](https://feeny.ai/job/sales-manager-enterprise-spotify-technology-spotify-new-york-0br7nv5gafx8) — New York, NY - [Senior Product Manager - Spotify Connect](https://feeny.ai/job/senior-product-manager-spotify-connect-spotify-london-4sb8kecz5rbz) — London, United Kingdom - [Principal Product Manager - TV & Desktop](https://feeny.ai/job/principal-product-manager-tv-desktop-spotify-london-q7y8rs12xh4s) — London, United Kingdom - [Director of Sales - Emerging & Scaled (New Business)](https://feeny.ai/job/director-of-sales-emerging-scaled-new-business-spotify-new-york-39qhpxz9b5mp) — New York, NY