• Leading and coaching a team of software engineers building and evolving Canva’s core data and storage platforms. • Designing, implementing, and continuously improving database and storage infrastructure with scalability, reliability, security, compliance, and cost efficiency in mind. • Analysing fleet-wide performance and efficiency across Canva’s storage systems, using data-driven insights to uplift reliability and reduce operational overhead. • Driving the evolution of Canva’s persistent storage towards a storage-as-a-service model, shaping architecture, tooling, and developer experience. • Partnering closely with product, platform, and infrastructure teams to translate complex needs into robust, sustainable engineering solutions. • Balancing long-term strategy with pragmatic delivery to ensure high-impact outcomes for Canva at scale.

• Leading and coaching a team of software engineers building and evolving Canva’s core data and storage platforms. • Designing, implementing, and continuously improving database and storage infrastructure with scalability, reliability, security, compliance, and cost efficiency in mind. • Analysing fleet-wide performance and efficiency across Canva’s storage systems, using data-driven insights to uplift reliability and reduce operational overhead. • Driving the evolution of Canva’s persistent storage towards a storage-as-a-service model, shaping architecture, tooling, and developer experience. • Partnering closely with product, platform, and infrastructure teams to translate complex needs into robust, sustainable engineering solutions. • Balancing long-term strategy with pragmatic delivery to ensure high-impact outcomes for Canva at scale.

• Lead the design, development, deployment, and optimization of AI solutions • Ensure solutions are production-grade, secure, compliant, and capable of delivering meaningful client and operational impact. • Drive agile execution, and translating healthcare business needs into scalable AI technology and data solutions. • Design, architect, and deploy enterprise-ready AI agents. • Develop and manage multi-provider abstraction layers across AI platforms. • Build cloud-native AI systems, using Kubernetes, Docker, microservices, serverless computing, event-driven architectures, CI/CD, and comprehensive observability stacks. • Tailor and implement industry-specific agentic workflows. • Partner with cross-functional stakeholders to define use cases, rapidly prototype solutions. • Conduct design workshops, POCs, and joint engineering sessions. • Define and monitor key metrics for agent accuracy, safety, latency, cost-efficiency, and reliability. • Ensure AI solutions comply with applicable industry and regulatory standards. • Create and maintain detailed documentation across model development, training, fine-tuning, deployment, and operational processes. • Provide technical leadership, mentorship, and guidance to junior engineers.

• Lead the design, delivery, and operation of cloud environments, service infrastructure, build/deploy, and ecosystem services. • Responsible for hiring, mentoring, and empowering a high-performing team of engineers. • Drive technical excellence and ensure scalable and reliable infrastructure that accelerates development across the organization.