
Senior Software Engineer, Backend & AI Platform - Sureel AI
Warner Music Group2 days ago
Munich, GermanySenior
Responsibilities
- Design and build scalable backend services, APIs, data pipelines, and platform infrastructure.
- Own systems end to end from architecture and implementation through deployment, observability, debugging, and iteration.
- Build infrastructure for high-volume AI, media, attribution, search, retrieval, and enterprise workloads.
- Work with the AI team to move experimental models and algorithms into reliable production services.
- Build and improve MLOps capabilities covering model deployment, inference, versioning, evaluation, monitoring, and reproducibility.
- Own and improve DevOps and cloud infrastructure, including infrastructure-as-code, containers, orchestration, security, observability, and deployment reliability.
- Build enterprise capabilities including authentication, RBAC, multi-tenancy, auditability, bulk operations, integrations, and configurable workflows.
- Make architecture decisions involving databases, queues, caching, distributed systems, compute, storage, networking, reliability, and cost.
- Work with Product and, when needed, customers or AI partners to turn complex requirements into scalable technical solutions.
- Build internal tooling and automation for engineering and research teams.
- Use coding agents, agentic frameworks, AI-assisted debugging and research, and automated testing as part of the engineering workflow.
Requirements
- Senior-level software engineering experience with strong depth in backend and platform engineering.
- Experience designing, building, deploying, and operating meaningful production systems.
- High proficiency in a modern backend language and extensive comfort with TypeScript and Node.js.
- Understanding of databases, networking, concurrency, APIs, distributed systems, queues, caching, cloud infrastructure, and failure modes.
- Strong cloud, DevOps, and production infrastructure experience.
- Understanding of model serving, GPU workloads, inference, data pipelines, embeddings, evaluation, and MLOps.
- Ability to work across the stack, including frontend when needed, and to reason beneath frameworks and abstractions.
- Experience using AI tools as part of the engineering workflow and automating development work.
- Ability to reason from first principles, solve difficult technical problems, and operate with significant ownership and ambiguity.
- Preferred experience with GCP, Kubernetes, Docker, Terraform, AWS DynamoDB or another NoSQL database, Meilisearch, vector search, distributed processing, GPU infrastructure, enterprise SaaS, developer APIs or SDKs, TypeScript and React, agentic development frameworks, or large-scale audio and media systems.
Benefits
- The role is part of an independent, federated company within Warner Music Group.
- The position offers a fast-moving startup environment with significant ownership and ambiguity.
- The company emphasizes diverse hiring, fair recognition for creators, high standards, low ego, intellectual curiosity, knowledge sharing, and supportive teamwork.
Tech Stack
Categories
About Warner Music Group
Warner Music Group is a publicly traded music company that operates global recorded-music labels and the Warner Chappell publishing catalog. It monetizes music through streaming and download partnerships, physical sales, licensing and sync, and artist and label services (including ADA and WMX). Headquartered in New York and controlled by Access Industries, WMG’s roster spans labels such as Atlantic and Warner Records, with operations in 70+ countries.