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Backend Software Engineer - Internationalization

1 Day ago • All levels • Backend Development

Job Summary

Job Description

Canva is seeking Backend Engineers for its Internationalization team to boost user acquisition, engagement, and retention. Responsibilities include designing, developing, and optimizing backend services and APIs for initiatives like A/B testing and personalization; collaborating with frontend engineers and product managers; implementing data pipelines; improving backend performance, scalability, and security; working with data analysts; and staying updated on industry best practices. The ideal candidate possesses strong computer science fundamentals, proficiency in Java, RESTful APIs, microservices, databases (MySQL or MongoDB), event-driven architectures, and cloud platforms. Experience with A/B testing and data-driven experimentation is crucial. This role offers flexible work arrangements in major Chinese cities.
Must have:
  • Strong Java backend development skills
  • RESTful APIs & Microservices expertise
  • Database experience (MySQL, MongoDB)
  • A/B testing & data-driven experience
  • Excellent problem-solving skills
Good to have:
  • Growth engineering principles
  • Experience with logging/monitoring tools
  • Machine learning & data-driven decision-making
  • Growth hacking methodologies

Job Details

Job Description

Canva可画是全球领先的视觉传播平台,2013年诞生于澳大利亚。秉承“赋予世界设计的力量”的使命,Canva可画为用户提供零门槛的设计编辑工具,海量的模版和素材,更有丰富的AI功能。目前Canva可画在全球190多个国家,拥有超过2.2亿的月活用户,是估值全球排名前10的独角兽公司。
Canva可画注重产品驱动的增长,具有浓厚的工程师文化,致力于打造开放、包容、富有活力的职场。该岗位将支持Canva可画国际化的增长策略,可以在中国大陆任何一二线城市灵活办公。

About the Role

We are looking for Backend Engineers to join our Internationalisation team and help drive user acquisition, engagement, and retention through data-driven development and scalable backend solutions. You will work closely with product managers, frontend engineers, and data analysts to implement and optimize backend services that support growth initiatives. If you are passionate about leveraging backend technologies to enhance growth, this role is for you!

Responsibilities

  • Design, develop, and optimize backend services and APIs to support growth initiatives such as A/B testing, personalization, and conversion rate optimization.
  • Collaborate with frontend engineers and product managers to create seamless and efficient user experiences.
  • Implement data pipelines and tracking mechanisms to measure the performance of growth experiments.
  • Improve backend performance, scalability, and security to enhance user experience and business impact.
  • Work with data analysts to ensure accurate tracking and reporting of key growth metrics.
  • Stay up to date with best practices and industry trends in backend development and growth engineering.
  • Rapidly prototype and iterate on experiments based on data insights and user feedback.

Qualifications

Required Experience & Skills

  • Firmly grounded computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns.
  • Strong proficiency in RESTful APIs, GraphQL, and microservices architecture.
  • Experience in backend development with expertise in Java.
  • Experience with databases such as MySQL, or MongoDB.
  • Experience with event-driven architectures and message queues.
  • Knowledge of cloud platforms and serverless computing.
  • Knowledge of CI/CD pipelines and DevOps practices.
  • Experience with A/B testing frameworks and data-driven experimentation.
  • Strong problem-solving skills and the ability to optimize backend performance and scalability.
  • Experience working in cross-functional teams and collaborating with frontend engineers, product managers, and data analysts.
  • Proficiency in English reading and writing, fluent in speaking.

Bonus skills

  • Understanding of growth engineering principles and how backend infrastructure impacts user engagement.
  • Familiarity with logging and monitoring tools (Datadog, Kibana, and Sentry)
  • Experience with machine learning models and data-driven decision-making.
  • Exposure to growth hacking methodologies and experimentation-driven development.

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Sydney, New South Wales, Australia (Remote)

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