Cross-Functional Quality Engineer

Summary

Imagine what you could do here. At Apple, quality isn't a checkpoint, it's a mindset woven into every product, service, and experience we create. The people here don't just test software; they safeguard the customer experience that defines Apple in the minds of millions. If you see quality as a strategic force multiplier, not a final gate, then this role was built for you.

Description

In this role, you will embed quality early in the software development lifecycle by driving risk-based testing strategies and ensuring quality is a shared responsibility across product, engineering, and business teams. You will lead large-scale, cross-functional testing programs utilizing data, analytics, automation, and AI/ML capabilities to prioritize efforts and improve delivery outcomes.

Responsibilities

• Drive quality strategy, risk assessment, and testing alignment from project inception by partnering with cross-functional teams to establish shared quality ownership.
• Apply risk-based testing and data-driven insights to prioritize coverage, proactively mitigate risks, and optimize quality outcomes.
• Lead end-to-end testing strategy, planning, resourcing, and execution across complex enterprise programs.
• Advance quality engineering through the adoption of automation, AI/ML-driven testing practices, and innovative tools.
• Develop organizational quality capability by mentoring teams, fostering continuous learning, and driving improvements in testing processes.
• Provide clear, actionable communication of testing progress, risks, and quality insights to stakeholders at all levels.

Minimum Qualifications

• Bachelors degree in computer science or related field, or equivalent experience
• 5+ years of experience leading quality engineering and cross-functional testing at an enterprise scale.
• Experience with risk-based testing methodologies and shift-left quality strategy, resulting in proactive defect prevention.
• Background utilizing test automation frameworks and driving automation adoption across teams.
• Experience with Generative AI and/or AI/ML in a quality engineering or software development context.
• Knowledge of system and software architecture models, including analyzing system interdependencies and translating them into actionable test designs.
• Experience establishing QA program structure, coordinating cross-project testing initiatives, and optimizing quality investments.

Preferred Qualifications

• Domain knowledge in Services, Operations, Supply Chain, and/or Logistics within a large enterprise environment.
• Background leading testing for SAP R/3 to S/4 HANA migrations.
• Experience supporting data privacy and regulatory compliance programs (e.g., PIPL, GDPR, PDPA), including validation of data handling controls and data governance processes.
• Familiarity working within a global organization and collaborating with geographically distributed teams.
• ISTQB, ASQ, or equivalent quality engineering certification.
• Ability to lead and influence without direct authority across engineering, product, and business stakeholders.
• Capability to distill technical complexity and communicate effectively with both technical and non-technical audiences.
• Aptitude for navigating ambiguity and bringing structure to complex quality challenges.