AIML - Engineering Manager, Device Infra Cloud Engineering

Key Skills

Aartificial intelligence, Effective communication skills, iOS platform, Machine learning techniques, Operations

Job Description

This role enables you to build your knowledge of the entire fleet of Apple devices, including iPhones, Macs, AppleTVs, and Apple Watches, with a particular emphasis on Siri. You will have the opportunity to make a big impact on both internal Apple engineers and the billions of users who use our products.

You will prepare devices and systems for testing (setup, software installation, testing, debugging, repairing systems). Manage inventory of test equipment and track the location of items. You will have a strong teamwork ethic as we engage with many teams, including everything from network to engineering. You will resolve issues in our current tool for automated device management and implement new features. You will help to run, maintain, and organize lab workspaces and interact with prototypes and components, including supporting test setups, debug sessions, etc., and you will be constantly moving lab support systems forward by iterating the current processes to make them more efficient. You will use ARD, SSH, Telnet, and other CLI to deploy, maintain, and debug remote machines and devices. This role may require lifting, moving, and carrying equipment up to 20 pounds.

Minimum Qualifications

• AS/BS in a technical field or equivalent experience
• 5+ years experience in an automation device lab environment
• Experience in driving large-scale program-building automated testing environments & operations

Preferred Qualifications

• Experience with device deployment and management of macOS & iOS
• Experience triaging issues and fixing both Apple software and hardware
• Preferred 5+ years of experience in administering macOS & iOS
• A positive and respectful attitude
• A passion for providing reliable services at scale
• Superb collaboration skills with excellent written and verbal communication
• The ability to understand troubleshooting methodology for large-scale systems and intricate systems
• Deep understanding of web services, how they operate, and what needs monitoring and alerts