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 multi-functional, offering greater exposure to the array of opportunities here.

DESCRIPTION

The Media Services QA team is seeking an automation engineer who is interested in ASE products, wants to have an impact on those products, excels at improving data quality, and is driven to use and create innovative tools and technologies. This role involves developing tools, frameworks, and applications to support client-to-server automation testing teams.

MINIMUM QUALIFICATIONS

• B.S.or M.S. in Computer Science or equivalent experience.
• Proficiency in Swift, Python or Java, SQL
• 5+ years experience in building tools and frameworks for QA automation testing
• Good understanding of full-stack development including back-end services and front-end UI design in Javascript or Typescript
• Strong skills in building and developing with service infrastructures such as Kubernetes, Docker, CICD pipelines
• Understanding of data analytics, data interrelationships and data pipeline
• Understanding of machine learning concepts
• Strong analytic and problem-solving skills

PREFERRED QUALIFICATIONS

• Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra)
• Experience with near real-time (NRT) and Batch data pipelinesThis position demands a self-motivated individual with strong technical who can contribute in a team environment.
• Comfortable and adaptable in a fast-paced environment.
• Good soft skills especially listening and working with collaborators
• Willingness to work multi-functionally with other teams.
• Experience with ML model training or fine-tuning
• Experience building enterprise level machine learning applications with Pytorch, Scipy, Scikit-learn

Please refer the Job description for details