1 week ago

Staff Software Engineer – Create, Grow - Growth

Canva

Sydney

1 week ago

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Canva is hiring a Staff Software Engineer for its Create, Grow team in Sydney, Australia. This remote-friendly role focuses on building scalable backend systems for AI-powered marketing experiences, including conversational AI, content generation, and shared platform capabilities. The ideal candidate has significant experience with high-throughput distributed systems, is highly proficient in Java, and has a track record of leading cross-team technical initiatives.

Core AIHybridFull-timePrincipalJavaDistributed Systems

Staff Software Engineer – Create, Grow - Growth

Apply

Core AIHybridFull-timePrincipalJava

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid: flexibility to work remotely and come together on campus for meaningful in-person collaboration

Employment Type

Full-time

Experience Level

Staff

Core Qualifications

Technical (Must-have)

JavaDistributed SystemsConcurrencyPerformance EngineeringScalable Software DesignMachine LearningModel ServingInference LatencyAI SystemsArchitectureMentoringTechnical LeadershipBackend SystemsOrchestrationCachingStreamingLLM AgentsPrompt ManagementEvaluation ToolingAsynchronous Job Orchestration

Soft Skills

CommunicationCollaborationMentoringTechnical Leadership

Key Responsibilities

•Advancing the backend systems that power our AI Ad Reasoner, improving reliability, observability, scalability, latency, and cost efficiency.
•Partnering with Canva Original Research & Exploration (CORE) to productionise cutting-edge image and video generation models through robust orchestration pipelines, feature flagging, evaluations, and rollout strategies.
•Designing and building a shared data platform that ingests and normalises data from advertising and ecommerce platforms including Google, Meta, TikTok, and Shopify.
•Driving performance improvements across the AI generation stack by optimising orchestration, batching, caching, streaming, request routing, and model interactions.
•Building reusable backend frameworks and libraries for LLM agents, prompt management, evaluation tooling, and asynchronous job orchestration that can be adopted across Canva.
•Leading cross-functional technical initiatives spanning Grow, CORE, Inference, Canva AI, Design Agent, and Media teams to deliver seamless AI-powered creation experiences.
•Setting technical direction through architecture reviews, mentoring engineers, improving engineering excellence, and maintaining a roadmap focused on reliability, maintainability, and operational excellence.

Staff Software EngineerBackendAIJavaDistributed SystemsMachine LearningGrowthCanvaSydneyRemote

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationCollaborationMentoringTechnical Leadership

Key Responsibilities

•Advancing the backend systems that power our AI Ad Reasoner, improving reliability, observability, scalability, latency, and cost efficiency.

•Partnering with Canva Original Research & Exploration (CORE) to productionise cutting-edge image and video generation models through robust orchestration pipelines, feature flagging, evaluations, and rollout strategies.

•Designing and building a shared data platform that ingests and normalises data from advertising and ecommerce platforms including Google, Meta, TikTok, and Shopify.

•Driving performance improvements across the AI generation stack by optimising orchestration, batching, caching, streaming, request routing, and model interactions.

•Building reusable backend frameworks and libraries for LLM agents, prompt management, evaluation tooling, and asynchronous job orchestration that can be adopted across Canva.

•Leading cross-functional technical initiatives spanning Grow, CORE, Inference, Canva AI, Design Agent, and Media teams to deliver seamless AI-powered creation experiences.

•Setting technical direction through architecture reviews, mentoring engineers, improving engineering excellence, and maintaining a roadmap focused on reliability, maintainability, and operational excellence.