Senior Software Engineer, Backend – AI Platform

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design and develop scalable backend services, APIs, data pipelines, and platform infrastructure.

• Take ownership of systems end-to-end, encompassing architecture, implementation, deployment, observability, debugging, and iteration.

• Construct infrastructure to support high-volume AI, media, attribution, search, retrieval, and enterprise workloads.

• Collaborate with the AI team to transition experimental models and algorithms into stable production services.

• Enhance MLOps capabilities related to model deployment, inference, versioning, evaluation, monitoring, and reproducibility.

• Manage and refine DevOps and cloud infrastructure, including CI/CD, infrastructure-as-code, containers, orchestration, security, observability, and deployment reliability.

• Develop enterprise features such as authentication, RBAC, multi-tenancy, auditability, bulk operations, integrations, and customizable workflows.

• Make architectural decisions across databases, queues, caching, distributed systems, compute, storage, networking, reliability, and cost management.

• Collaborate with Product, customers, and AI partners to convert complex requirements into scalable technical solutions.

• Create internal tools and automation solutions.

• Utilize and experiment with coding agents, agentic frameworks, AI-assisted debugging and research, automated testing, and emerging development workflows.

⛳️ Requirements

• Senior software engineer with extensive expertise in backend and platform engineering and the capability to work across the stack when necessary.

• Experience in personally designing, building, deploying, and operating significant production systems.

• Highly skilled in a modern backend programming language.

• Proficient in working extensively with TypeScript/Node.js.

• Strong knowledge of databases, networking, concurrency, APIs, distributed systems, queues, caching, cloud infrastructure, and failure modes.

• Robust experience in cloud, DevOps, and production infrastructure.

• Familiarity with model serving, GPU workloads, inference, data pipelines, embeddings, evaluation, and MLOps.

• Experience integrating AI into the engineering workflow.

• Desirable 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/React, agentic development frameworks, or large-scale audio and media systems.

• Comfortable in a fast-paced startup environment with significant ownership and ambiguity.

🏝️ Benefits

• Full-time employment.

• Independent, federated company within Warner Music Group.

• Startup speed combined with the reach of a global music company.