[Hiring] Senior Software Engineer @Warner Music Group

Role Description

We are looking for a senior software engineer with deep experience in backend, platform, DevOps, and MLOps engineering. You will help build the technical backbone of the Sureel platform, working closely with AI Research, Product, and the rest of Engineering to turn advanced technology into reliable enterprise products. This is a highly hands-on role.

• Design architecture and write code, owning systems from implementation through deployment and production.
• Comfortable moving between APIs, distributed systems, databases, cloud infrastructure, ML workloads, enterprise integrations, and, when needed, the frontend.
• Understand frameworks, managed services, and AI tools, and reason about their underlying mechanisms.

What you'll do:

• 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.
• Work with our AI team to move experimental models and algorithms into reliable production services.
• Build and improve our 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 directly with Product and, when needed, customers or AI partners to turn complex requirements into scalable technical solutions.
• Build internal tooling and automation that makes the entire engineering and research team more effective.

AI-native engineering

AI is part of how we expect the engineering team to work. You should actively use and experiment with coding agents, agentic frameworks, AI-assisted debugging and research, automated testing, and other emerging development workflows.

• Use these tools to move faster without lowering the quality bar.
• Understand the code and systems you ship, recognize when an AI-generated solution is wrong, challenge weak architectural decisions, and solve difficult problems independently.
• Extend your judgment and capabilities with AI, not replace them.

Qualifications

• Senior software engineer with strong depth in backend and platform engineering.
• Experience designing, building, deploying, and operating meaningful production systems.
• Highly proficient in a modern backend language, comfortable with TypeScript/Node.js; Python experience is a bonus.
• Understanding of databases, networking, concurrency, APIs, distributed systems, queues, caching, cloud infrastructure, and failure modes.
• Ability to go beneath frameworks and abstractions when necessary.
• Strong cloud, DevOps, and production infrastructure experience.
• Understanding of ML systems to work effectively with model serving, GPU workloads, inference, data pipelines, embeddings, evaluation, and MLOps.
• Use AI as part of your engineering workflow and seek practical ways to automate and accelerate your work.
• Reason from first principles and enjoy working through difficult technical problems.
• Caring about the product and business outcome, not just the technical implementation.
• Comfortable in a fast-moving startup environment with significant ownership and ambiguity.

We'd love it if you also had

• 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.

Compensation

This position offers a base salary of $110,000 - $145,000 CAD. In addition to base salary, this role is eligible for a performance-based annual bonus.

Vacancy Status

This posting is for an active, existing vacancy.