Software Engineer in Test - Tools & Automation

Imagine what we could do together. 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 we could accomplish! The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple’s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. If you are looking for an opportunity to grow in a technical capacity by leveraging your skills along with building up solid domain knowledge and automated testing strategies and systems around Apple's services offerings in the AI/ML space, we would love to talk to you!

Description

The Apple Services Engineering AI/ML quality organization is looking for a Quality Engineer with a passion for building and validating quality systems at scale, with strong experience in leading multi-functional projects, developing test and automation strategies in a fast moving team. This role requires someone with a passion for quality engineering as well as solid software engineering skills, to deliver high quality services to Apple's customers. You will be responsible for the following: - Design, implement and maintain automation tests, testing frameworks and tooling to support various backend services and machine learning pipelines. - Partner with multi-functional collaborators and peers to develop test strategies, plans, test cases and CI/CD-integrated automated test suites - Define and drive quality assurance standard methodologies including data-driven testing approaches for API endpoints - Identify process and architecture inefficiencies and help drive improvements while reducing risk, fostering a culture of built-in quality and continuous testing throughout the SDLC - Mentor junior team members

Minimum Qualifications

BS or MS in Computer Science or related field or relevant industry experience. Proficiency in Java, Python or similar programming languages Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems Advanced expertise with architecting and implementing REST api frameworks, tooling and test strategies for unit, functional and integration tests Creative problem solving with attention to detail Impeccable communication skills and ability to effectively collaborate with multiple collaborators across organizations and project timelines Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML technologies Advocacy for a positive customer experience

Preferred Qualifications

Knowledge of Big Data systems, Apache Spark is a plus Experience with testing AI and/or ML algorithms is a plus Adept at leveraging technology to solve problems, including building tooling, automating tasks, and developing supporting systems to streamline development workflows