Senior Software Engineer, Backend & AI Platform - Sureel AI
Warner Music Group14 hours ago
Responsibilities
- Design and build scalable backend services, APIs, data pipelines, and platform infrastructure.
- Own systems end-to-end through architecture, implementation, deployment, observability, debugging, and iteration.
- Build infrastructure for AI, media, attribution, search, retrieval, and enterprise workloads.
- Move experimental models and algorithms into reliable production services with the AI team.
- 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 across databases, queues, caching, distributed systems, compute, storage, networking, reliability, and cost.
- Work with Product, customers, and 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, automated testing, and other emerging development workflows.
Requirements
- Senior-level backend and platform engineering experience with the ability to work across the stack when needed.
- Experience personally designing, building, deploying, and operating meaningful production systems.
- High proficiency in a modern backend language and extensive comfort with TypeScript and Node.js; Python experience is a bonus.
- Strong 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 use AI in the engineering workflow and identify incorrect AI-generated solutions or weak architectural decisions.
- 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 is preferred.
- Ability to reason from first principles, solve difficult technical problems independently, and operate with significant ownership and ambiguity.
- Strong product and business orientation, intellectual curiosity, collaborative behavior, and willingness to challenge and revise ideas.
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.