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
You'll build automation and internal tools that enable our app review specialists to work more efficiently. This includes configuring review workflows, developing automation for decision systems, and rapidly prototyping new tools using modern AI-assisted development approaches.
The ideal candidate thrives in fast-paced environments, understands large-scale systems, and enjoys working with both technical and operational teams.
Minimum Qualifications
6+ years building backend automation, data systems, or internal tooling
JavaScript proficiency for scripting, data processing, and event-driven logic (not front-end development)
Experience with client-server architectures and dynamic UI configuration
Experience supporting high-volume operational workflows where users process large volumes of items
Proficiency with AI-assisted development tools (e.g., Claude Code) for rapid prototyping
Preferred Qualifications
Familiarity with Apple's SDK and app internals (binary analysis, control flow, network traffic)
Experience with event-driven compute or FaaS platforms
Experience querying large datasets with Trino, HDFS, or similar technologies
Python proficiency for data analysis and internal tooling
Proficiency in Python, particularly for data analysis.
Responsibilities
Configure and customize internal tools supporting app review workflows
Build automation for app review decision systems with accurate, scalable outcomes
Define requirements for event-driven compute solutions (e.g., FaaS) that generate actions and insights from real-time signals
Partner with operations teams to understand workflows, identify bottlenecks, and identify data requirements
Debug and inspect apps, including network traffic and binary analysis, to identify automation opportunities
Query and process large-scale datasets using platforms like Trino and HDFS
Eeo Content
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