Top Technology Jobs & Startup Jobs in Sydney

As a Backend Software Engineer, you will design, develop, and deploy software solutions focused on internal customers, primarily using Java and working on distributed systems. You'll collaborate with cross-functional teams, facilitate knowledge sharing, and drive improvements in engineering processes and solutions, particularly in A/B testing and data analysis.

As an Engineering Manager, you will lead a team of engineers to build scalable systems for customer support, improve security protocols, deliver large technical projects, drive team growth, and maintain excellence in service operations.

The role involves designing, developing, and deploying software solutions, collaborating with internal stakeholders to create custom solutions, and advocating for engineering needs. It requires strong backend development skills in Java, building APIs, and effective communication with non-technical stakeholders.

As a Backend Software Engineer, you will contribute to building and improving Canva's GenAI platform and enhance user support through the customer support chatbot 'Ask Canva'. This involves designing user support systems, implementing AI capabilities, and collaborating with other engineers to solve complex problems.

The People Analytics Engineer at Canva is responsible for enhancing the people data platform by integrating new data sources and ensuring data reliability, accuracy, and consistency. The role involves automated data ingestion and transformation using SQL and Python, designing semantic data models, and maintaining the data infrastructure.

In this role, you will orchestrate campaigns, streamline operations, translate business requirements into technical specifications, segment data, design nurturing strategies, monitor campaign performance, create reports in Salesforce, and ensure quality compliance. You will need to thrive in a dynamic environment with multiple projects.

The Finance Analytics Engineer at Canva focuses on enhancing the finance data platform by integrating new data sources and ensuring data quality. Responsibilities include automating data ingestion with SQL and Python, designing data models, and applying data engineering practices to support finance reporting needs.