• You will have the opportunity to work on some of the most cutting edge AI features at Canva and collaborate with teams across the group to bring the features to production effectively and make sure they perform reliably at scale. • Collaborate closely with stakeholders, PMs, and cross-functional teams to create innovative and scalable solutions • Design, develop, and maintain high-performance, scalable, and reusable backend components • Identify and implement best practices and methodologies for backend engineering • Help foster a culture of continuous learning and improvement • Participate in code reviews, ensuring adherence to coding standards and best practices • Contribute to the overall architecture and design of backend systems, ensuring maintainability and extensibility

• Play a leading role in the technical vision for Pilot, Canva's A/B testing and experimentation platform, setting the direction for how we evolve toward AI-driven product decisions at Canva's scale. • Build the technical roadmap for AI-driven, self-serve product insights, working closely with PM, PD, Data Science and other teams to make sure the roadmap reflects what teams actually need. • Shape the architecture and design of the experiments platform to handle Canva's growing scale. • Write design docs, run design reviews, and make the big calls on how the system evolves, with a particular focus on improving analysis pipeline reliability and latency. • Be the technical north star for the team. • Drive cross-team initiatives across Product Platform. Pilot doesn't exist in isolation. You'll work closely with other platform teams, as well as PM, PD, and Data Science, to make sure our systems fit together and raise the bar company-wide.

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems. • Architect and optimize backend services for high throughput and low-latency performance. • Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services. • Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets. • Improve system performance, reliability, and scalability across microservices and cloud infrastructure. • Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle. • Mentor developers, guide code reviews, and raise engineering quality standards. • Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems. • Architect and optimize backend services for high throughput and low-latency performance. • Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services. • Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets. • Improve system performance, reliability, and scalability across microservices and cloud infrastructure. • Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle. • Mentor developers, guide code reviews, and raise engineering quality standards. • Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.