QA Automation Engineer, London
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.
Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision.
That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.
The Apple Services Analytics Engineering QA team is responsible for ensuring the Quality and integrity of the data collected and reported on customer experience data. We are seeking Data Test Automation Engineers who are interested in ASE products, want to make a difference to them and to Apple as a whole, improving the data quality, and learn ASE cutting-edge tools and technologies. This role involves developing automated testing tools to test and validate near real-time (NRT) and batch data pipeline systems.
- In depth professional software QA experience with a proven track record of delivering server-side automation at scale using Java or Python
- Experience developing test plans, test cases along with excellent bug isolation and reporting skills
- Excellent SQL skills with a good understanding of database schema & data interrelationships, with experience testing RESTful API services using CI/CD automation
- Self-motivated with proven ability to lead QA projects and contribute as part of a cross functional team
- Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra)
- Experience with Big Data query tools and engine (e.g. Jupyter Notebook, Trino, DBeaver)
- Experience with near real-time (NRT) and Batch data pipelines Experience black box testing
- Experience Client-Server products Knowledge in Data Quality, Data Profiling and Data Integration