Tools and Automation Engineer - Trust and Safety

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or App Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.

It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. At Apple, the Trust u0026 Safety organization is dedicated to fostering trust, safety, and fairness across our products and services.

This vision is realized through the implementation of technical solutions, as well as collaborative efforts to address challenges such as account fraud, spam, service integrity, and regulatory standards enforcement. The Tools u0026 Automation Engineering team plays a crucial role in ensuring the quality of our products and services. They establish a culture of quality by refining quality assurance processes, enforcing quality and release standards, and best practices.

The team develops testing tools and frameworks that empower the organization to deliver high quality applications fast and with confidence.

This role encompasses all aspects of software quality assurance, from developing test strategies and plans to creating test automation tools and frameworks that facilitate fast, reliable, and effective testing of software applications. You'll work in a highly cross-functional environment to support quality assurance needs for Trust u0026 Safety platforms and solutions that include Apple operating system frameworks, machine learning (ML), and data platforms, as well as web server applications.

These solutions safeguard the Apple ecosystem from fraud and abuse while ensuring compliance with global regulatory standards.

Experience in machine learning platform development or testing

Experience with container and cloud technologies such as Docker, Kubernetes, and AWS.

Experience with data technologies including Hadoop, Kafka, Cassandra, Apache Spark, and Apache Flink.

Proficient in Python, Swift, Scala or Java. Experience in quality assurance of iOS, macOS, vision

OS, or watch

OS applications

Experience with XCTest, XCUITest frameworks Ability to triage problems, prioritize tasks, and propose effective solutions. Well-developed organizational and communication skills. Bachelor's degree in Computer Science or a related field, or equivalent professional experience.