Senior Software Engineer, Backend, AI Platform

Warner Music Group

. Design and build scalable backend services, APIs, data pipelines, and platform infrastructure across the Sureel stack .

Posted 10/8/2026full-timeRemote • CanadaSenior💰 CA$110,000 - CA$145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend and platform engineering, with a strong focus on building scalable services, APIs, and infrastructure. Proficient in MLOps, cloud technologies, and DevOps practices, ensuring reliable production systems and effective model deployment.

Highest-signal resume keywords

Backend EngineeringTypeScript/Node.jsMLOpsCloud InfrastructureDevOps

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend Language ProficiencyDatabase UnderstandingAPIsDistributed SystemsData PipelinesModel ServingInferenceConcurrencyObservabilityDebugging

Soft Skills

Problem SolvingOwnershipAdaptability

Tools & Technologies

GCPKubernetesDockerTerraformAWS DynamoDBMeilisearchVector SearchAgentic FrameworksCI/CDInfrastructure-as-Code

Industry Keywords

AIMediaEnterprise SaaSDeveloper APIsLarge-Scale Systems

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerDynamoDBGoogle Cloud PlatformJavaScriptKubernetesNode.jsNoSQLReactTerraformTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Performance based annual bonus