
1001 - 5000 employees
Founded 1920
📱 Media
💰 Post-IPO Debt on 2021-10
Media
Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.
🔥 4 minutes ago
AWS
Cloud
Distributed Systems
Docker
DynamoDB
Google Cloud Platform
JavaScript
Kubernetes
Node.js
NoSQL
React
Terraform
TypeScript
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1001 - 5000 employees
Founded 1920
📱 Media
💰 Post-IPO Debt on 2021-10
Media
Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.
• Design and build scalable backend services, APIs, data pipelines, and platform infrastructure across the Sureel stack • 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 • Move experimental models and algorithms into reliable production services with the AI team • Build and improve MLOps capabilities across model deployment, inference, versioning, evaluation, monitoring, and reproducibility • Own and improve DevOps and cloud infrastructure, including CI/CD, infrastructure-as-code, containers, orchestration, security, observability, and deployment reliability • Build enterprise capabilities such as 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 emerging development workflows
• Senior software engineer with strong depth in backend and platform engineering • Personally designed, built, deployed, and operated meaningful production systems • Highly proficient in a modern backend language • Comfortable working extensively with TypeScript/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 • Experience using AI as part of the engineering workflow • Ability to reason from first principles and solve difficult technical problems • Comfortable in a fast-moving startup environment with significant ownership and ambiguity • Preferred additional 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
• Performance based annual bonus
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