
Senior Backend Engineer - Studio
Epidemic Sound
- Employment type
- Full-time
- Country / Region
- Sweden
- City / Location
- Stockholm
- Workplace
- Hybrid
- Seniority
- Senior (5-10 years XP)
- Salary
- Not communicated
- Language(s) required
- English
- Job offer language
- English
- Applications open until
- 27 October 2026
Epidemic Sound is hiring a Senior Backend Engineer - Studio in Stockholm, Sweden. This is a full-time, hybrid position in Software, Tech & Data Analytics at senior level. Applications are open until 27 October 2026.
More: Music jobs in Stockholm · Music jobs in Sweden
As a Senior Backend Engineer, you will play a crucial role in Studio, the AI-powered soundtracking product where a creator uploads a video and a pipeline of agents assembles a complete, editable soundscape of music, sound effects and ambience. You will build and operate the agentic systems at the core of that product, together with the backend platform they run on. You'll join the Studio team in the Storytelling area, working across the Python agent platform, the Go and GraphQL Studio API and the TypeScript and React editor, all running on GCP.
Key Responsibilities
- Build and operate agentic systems in production, from the multi-agent pipeline that turns video understanding into soundscapes to the tool-using conversational Assistant
- Build backend services across the Python agent platform and the Go and GraphQL Studio API, including Pub/Sub-driven workers, video ingest and analysis, and GKE workloads
- Own reliability and observability for systems whose output varies, through dashboards, alerting and evaluations that make soundtrack quality measurable
- Ship iteratively behind feature flags and stay with the work through rollout and incident response
- Partner with frontend engineers, product managers and design on the Assistant launch and evolution of the video analysis platform
Requirements
- Strong backend engineering with distributed-systems experience; Python and/or Go in production
- Experience building agentic systems that reached real users, such as LLM agents with tool use, multi-step pipelines or conversational assistants
- Experience owning services in production on a major cloud platform (GCP or similar), covering event-driven architecture, observability and incident response
- Experience taking a problem forward without being asked, and challenging decisions openly
Nice to have
- Audio/music technology or media processing (transcoding, streaming, loudness)
- ML beyond consuming APIs: training/fine-tuning models, computer vision, or stream processing
- Video understanding / multimodal models
- Frontend fluency (TypeScript/React)
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