Job information

$ 1,100,000+ TWD per annum


Job Summary

ShopBack 是來自新加坡的線上現金回饋平台,足跡遍及亞洲七國,讓用戶透過ShopBack進行更聰明的消費選擇,是我們的使命。ShopBack的研發團隊建立了快速成長的平台,吸引了超過500萬用戶使用領導技術創造世界級的產品。我們正在尋找具有團隊合作精神並致力於解決難題的你,歡迎加入我們,一起 Rock the world!

Job Description


  • Design, develop, implement, and maintain new and existing web-based applications 
  • Coordinate with engineering to define and prioritize engineering projects. 
  • Able to work in a dynamic and diverse engineering culture - every day, we learn from each other, brainstorm and execute ideas, and play ping pong to unwind... 
  • Build a great product that impacts consumer online behavior - we're proud that our product is changing the way people shop online 
  • Interest in exploring and learning the latest technologies in the industry. 
  • As part of the engineering team, you will advise the organization as to which technology stacks/cloud/data solutions to use in Taiwan 
  • Ensure that systems are always available, fast and highly scalable to accommodate unprecedented demand. 
  • Help develop the best possible continuous delivery pipelines supporting features like automatically promotion to production, automated canary releasing or blue-green deployments 



  • 5+ years of relevant work experience 
  • Hands on experience working with NodeJS (Most Preferred) 
  • Experience working with cloud services like AWS, Heroku or Google cloud platform 
  • Experience with different databases. Relational (PostgreSQL, MySQL, ...) or NoSQL(MongoDB, CouchDB, Cassandra) 
  • Extensive REST API development experience 
  • Excellent verbal and written communication skills, a team player with strong analytical, problem solving, debugging, and troubleshooting skills.
  • Experience in configuration management and orchestration (experience with Chef/Ansible/Puppet is an added bonus) 
  • Demonstrated the ability to look forward and anticipate problems and needs 
  • Worked with CI/CD tooling, Jenkins/Travis 
  • Experience in distributed system design/operation.
  • Hands on experience in ELT data pipelines and big data computing framework (Spark)
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