Software Engineer, QA Automation

Key Skills

Aartificial intelligence, Algorithms, Apache Flink, Apache Hadoop, Apache Hive, Argo, Automation, AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data structuring, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, Presto, Python Programming, RESTful, Scala Programming, User support and Troubleshooting

Job Description

About the role

Appier is seeking Software Engineers, QA Automation to ensure continuous 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 strategies and test automation for different types of systems.

[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 from 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 willingness to share knowledge among the 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 detail.

[Preferred qualifications]

Experience in one of cloud service platforms. (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 health 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 verbal and written.