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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Engineer, Content Intelligence Infrastructure - **Company:** Spotify - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $203,410.0 - $290,586.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Audio Signal Processing, Computer Programming, Distributed Data Store, Distributed Systems, Python (Programming Language), Recommender Systems, Data Processing, System Availability, Large Language Models, Backend, Machine Learning Operations - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=777a65ec40ae34d1 ## About the Role Do you have experience in Team leadership?, * You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments * You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively * You have strong programming experience in Java, Python, and/or Scala * You understand the challenges of building systems that process high-volume multimedia or real-time workloads * You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies. * You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up * You communicate effectively across engineering, product, and leadership stakeholders * You have experience leading complex technical initiatives that span multiple teams or organizational areas * You care deeply about collaboration, mentorship, and creating alignment across teams * Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus * Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued ## Description We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments. What You'll Do * Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities * Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines * Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area * Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability * Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems * Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases * Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments * Mentor engineers and contribute to raising the engineering bar across the organization ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Best Practices for AI-Assisted Development of Distributed Systems](https://www.wearedevelopers.com/videos/100200-best-practices-for-ai-assisted-development-of-distributed-systems) - [The Sound of Privacy – What Your Spotify Data Reveals About You](https://www.wearedevelopers.com/videos/100346-the-sound-of-privacy-what-your-spotify-data-reveals-about-you) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer) - [Does The Tech Industry Have The Best Work-life Balance?](https://www.wearedevelopers.com/magazine/427-does-the-tech-industry-have-the-best-work-life-balance) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)