Configuration and Automation Engineer
Cupertino
February 25, 2026
Apple Custom Ats
Summary
Apps are changing the world and enriching people’s lives, driven by developers dedicated to creating extraordinary experiences that delight customers. Apple’s Worldwide Developer Relations team (WWDR) provides the services, resources and guidance that empowers the world’s most dynamic developer community to push the boundaries of innovation and bring the next big app ideas to Apple’s platforms for customers worldwide. WWDR also offers programs to help developers connect with experts, learn about the latest Apple tools and technologies, and adopt best practices to supercharge app development.
We are seeking a Configuration and Automation Engineer to help shape and scale the internal tooling that enables the review of millions of app submissions every year.
Description
In this role, you’ll work at the intersection of systems analysis, automation, and data intelligence — enabling our support specialists to work more efficiently and effectively.
You will own the configuration of our internal tools and developing automation. The ideal candidate thrives in fast-paced environments, understands how large-scale systems operate, and is eager to work closely with both technical and operational teams.
Minimum Qualifications
3+ years of professional experience.
JavaScript proficiency for use as a scripting language in backend or automation systems to process data, evaluate logic, or respond to events. Note, this is not a front-end web development role.
Experience with client-server architectures and tools that dynamically generate or configure user interfaces.
Background in supporting high-volume operations such as support desks, customer service platforms, or call centers.
Preferred Qualifications
Familiarity with Apple’s SDK and an understanding of how apps work, including the ability to interpret binary analysis output, control flow graphs, network traffic, etc.
Hands-on experience with event-driven compute or function-as-a-service (FaaS) platforms.
Experience querying and analyzing large datasets using tools like Trino, HDFS, or similar big data technologies.
Proficiency in Python, particularly for data analysis.
