About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
About the role
Appier is seeking Software Engineers, QA Automation to ensure continuously delivery of high quality system. You will work with engineers to design testing plans for various types of systems - large traffic distributed system, machine learning algorithm, big data platform, frontend system, etc. He/she will master the skills in defining suitable test strategy and test automation for different types of system.
[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]
Responsibilities
- Work with product team and review feature requirements and specs to design the test plan, test strategy and perform executable tests with valid reports.
- Work with developers to design testability and test utils and provide test cases by QA perspective before the feature is testable for QA.
- Testing and assuring high-quality and performance of Appier products.
- Reporting and validating bugs for products.
- Develop scalable and reliable automation tests and test frameworks for products by micro-service architecture.
- Manage and monitor the release process and perform necessary tests to consolidate quality for the feature delivery.
About you
[Minimum qualifications]
- Knowledge of software development process (Agile, Waterfall).
- Knowledge of software testing process ( Test Plan, Test Case, Troubleshooting ).
- Good communication skills and Welling to share knowledge among team.
- At least 2 years experience in one of Test Automation tools. (e.g., Python, Java, Robot Framework, TestRail, Selenium, JMeter or Locust).
- Experience with CI/CD integration and the tools.
- Fast learner, good troubleshooting skills and excellent attention to details.
[Preferred qualifications]
- Experience in one of cloud service platform (e.g., AWS, GCP, Azure, Kubernetes)
- Experience / Knowledge in the test for Big data, Machine Learning, Data analysis
- Excellent skills in data integrity tests or data quality.
- Experience in system monitoring tools or system healthy dashboard (e.g., Grafana, Kibana, Prometheus)
- Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test)
- Experience in building automation testing for the architecture of micro-services
- Fluent English communication skills, both verbally and written.