The Apple Media Products Analytics QA team is responsible for the Quality and integrity of the data collected and reported on customer experience data.
The Team is looking for a Quality Automation Software Engineer.
We are seeking experienced QA engineers who can test features, detect issues, compile quality metrics and develop automation scripts, frameworks, tools and much more:
Design new tools and processes to validate the Quality of metrics and analytics pipelines of the Apple's Media Products (AMP) engineering organization; Develop new ways to test and validate our data pipelines from the mobile to the Apple customers facing dashboards.
You will be developing functional, regression and compatibility automated tests for the Data Engineering team within Apple. Responsible for crafting and developing tests and well as the testing infrastructure i.e. testing tools, test frameworks, test reporting mechanisms, services, data back end . Integrate with the continuous integration systems to ensure all of the tools, services developed are properly tested and meet the quality goals. Write different types of tests i.e. Unit, Integration, Acceptance for existing and new projects so as to ensure bug free software is delivered which is as per the requirements. Ability to investigate and triage hard problems.
Day to day work involves bug reporting and isolation, test plan documentation, writing test case automation and working closely with other teams (engineering, project management, etc.). This position demands a self-motivated individual with strong technical and communication skills who can contribute in a team environment. You have the ability to be flexible and able to bounce between dynamic tasks expertly. You will own complete functional areas and be able to define test approaches and strategies, as well as execute functionality, compatibility, integration and reliability testing while developing the best tools and methods to automate the qualification for our Metrics related products and related technologies.
BS in Computer Science or equivalent experience