Work within the Multimedia Group in Design Experience that focuses on making multimedia storytelling quick, simple, and fun. You will be developing and maintaining core video rendering and export features for our iOS app. Build scalable and reusable mobile architecture, identify performance bottlenecks, and contribute to a team culture of quality, collaboration, and continuous learning.
Job listings
$135,946–$152,046
USD/year
Lead a sustainable, high-performing team of autonomous engineers focused on enhancing the security and availability of hosted authentication providers for Octopus Cloud, building in-product enterprise features and solving deep CIAM challenges at scale. You'll join a high-trust, collaborative team alongside a Senior Product Manager and Lead Engineer to shape the team's future.
Canva Code is on a mission to empower anyone to design and build interactive experiences, powered by conversational AI, working on cutting-edge features at the intersection of design, interactivity, and artificial intelligence, you’ll help shape the frontend architecture of the core product as we continue to scale and integrate more closely with the Canva Editor.
OFX's engineering team has a wealth of experience in finance and tech companies, from startups to global names. As a Senior Software Engineer, you will be joining a team that ship reliable code fast and use the latest frameworks and technologies to deliver an A+ experience. Translate application requirements, story boards and use cases into functional applications. Design, build, test and maintain efficient, reusable, and reliable code.
As Canva scales, change continues to be part of our DNA. Driving the strategy and roadmap of Canva’s experimentation platform. Coaching and empowering a high-performing team of engineers. Collaborating across product and platform teams to ensure experimentation tools meet diverse needs. Elevating the company-wide experimentation maturity. Shaping the future of data-informed decision-making through experimentation. Exploring opportunities to integrate AI into experimentation and measurement.
You will play a crucial role in developing and refining the Apps SDK, ensuring that external apps can integrate natively into Canva’s product ecosystem. You will be responsible for architecting new capabilities, shaping API designs, and collaborating with both internal teams and external developers to build a world-class app experience. As a technical leader, you’ll drive large-scale projects from ideation to execution, making key architectural decisions that impact Canva’s developer community.
This role is focused on coding in Golang to design, build and deploy products that run across multiple Kubernetes clusters. You will be on-call for the team’s products and driving operational excellence. Partnering with stakeholders across Security, Product, and other Platform teams to understand needs and build valuable platform capabilities, develop yourself and your team members in a high-trust, high-impact environment.
As a Senior Engineer on the Revenue Enablement team, you will build a promotional platform that empowers teams across Canva to run viable and impactful offers with minimal effort while catering to their products’ diverse needs. You will be responsible for deeply integrating this platform with complementary systems for content management, personalisation, and experimentation. You will ensure that the platform is designed and built with scalability, ease of use, and self-serve in mind.
As Canva scales change continues to be part of our DNA and you will be working on scaling out backend systems, including Opensearch and Elasticsearch, building and maintaining new APIs to support Public and Private Search as well as platform capabilities that support internal teams. You will contribute to a culture of high collaboration, communication and operational excellence.
Design, develop, and optimize high-performance backend services that power Canva’s Conversational AI experiences. Work closely with AI researchers and ML engineers to integrate cutting-edge machine learning models into production systems. Architect scalable APIs and infrastructure to handle millions of AI-driven interactions. Implement and maintain real-time data pipelines that enhance AI-driven user experiences. Ensure high availability and reliability of AI-powered services.