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Salary
≈ $38k – $111k per year (Estimated)
Location
In office (Shanghai)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Join the team that serves as Apple's nerve center, our Information Systems and Technology group. From Apple Pay to the Apple website to our data centers around the globe, you'll help design and run the substantial systems that countless employees and customers rely on every day.

The SAP Quality Engineering team safeguards the performance health of Apple’s SAP production systems. We are building a performance engineering presence in Shanghai to support SAP Business Technology Platform (BTP) applications within Apple’s global SAP landscape. You will own how those applications behave under real load - end to end.

This is a hands-on individual contributor role. You will design realistic performance test scenarios, run experiments, read traces, and own production incidents. You bring broad, battle-tested experience optimizing applications hosted on cloud hyperscalers, and you apply that depth to the SAP BTP stack on various hyperscalers. Proven ability to design realistic, high-fidelity performance test scenarios - translating production behavior and business workflows into workload models, concurrency profiles, data volumes, and think-time distributions that exercise the system the way real load does. A test is only as good as the scenario behind it, and you build scenarios that surface mixed-load and endurance behavior rather than best-case single-user timings.

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