Software Engineer, QA Automation

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, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Responsibilities Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports. Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness. Ensure the highest quality and performance standards for Appier products through rigorous testing. Accurately report and validate product bugs, driving continuous improvement. Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures. Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks. About you [Minimum qualifications] Solid understanding of software development methodologies (Agile, Waterfall). Better in software testing processes, including test planning, test case development, and troubleshooting. Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team. Minimum 2 years of hands-on experience with at least one test automation tool (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust). Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow. Experience integrating and utilizing CI/CD tools. Quick learner with good troubleshooting abilities and keep attention to detail. [Preferred qualifications] Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes) Excellent skills in data integrity tests or data quality. Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test) Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus) Experience in building automation testing for the architecture of micro-services Experience / Knowledge in the test for Big data, Machine Learning, Data analysis. Fluent English communication skills, both verbal and written.