AI Quality & Test Automation Engineer

Apple • Cupertino, CA

3d

About The Position

The Apps Services team builds tools and systems that improve the development and delivery process across the code pipeline, from commit to customer. The AI Quality & Test Automation Engineer designs and builds intelligent automated systems to validate infrastructure changes, detect anomalies, and continuously improve the quality of AI features used by customer teams. The role also helps establish the foundational layer of internal applications intended to reduce critical outages and accelerate engineering workflows. The engineer collaborates with cross-functional partners to translate operational pain points into scalable automation solutions.

Requirements

• At least 5 years of experience in software development or QA, spanning full-stack, frontend, backend, or integrated QA roles.
• At least 1 year of hands-on experience using AI tools in daily engineering workflows to automate tasks and build automated systems.
• Proficiency in one or more scripting languages used for system automation or web development, such as Python, Ruby, or Swift.
• Demonstrated ability to work effectively with observability and logging tools in Kubernetes-based environments.
• Strong cross-team communication skills and a track record of collaborating effectively with partner engineering organizations.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

Nice To Haves

• Swift application development experience, including familiarity with building native or server-side Swift tools.
• Experience working with stakeholders to distill ambiguous requests into defined workflows, engineering requirements, and measurable outcomes.
• Familiarity with CI/CD pipeline architecture and integrating quality gates into automated delivery workflows.
• Experience building internal developer tooling or platform engineering systems used at organizational scale.

Responsibilities

• Design and build intelligent automated systems to validate infrastructure changes.
• Detect anomalies and continuously improve the quality of AI features used by customer teams.
• Help establish the foundational layer of internal applications aimed at reducing critical outages and accelerating engineering workflows.
• Collaborate with cross-functional partners to turn operational pain points into scalable automation solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior