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Software Development Engineer in Test, Retail and Marcom Engineering

Apple - Sunnyvale, United States of America

Posted May 13, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Software Development Engineer in Test, Retail and Marcom Engineering Sunnyvale, United States of America Marcom is the creatively-led global team that oversees Apple's consumer facing marketing. We ensure the flawless development and execution of world-class communications across all medias and platforms. The Marcom Quality Engineering team is seeking a Software Development Engineer in Test to lead test automation and quality initiatives for web applications and APIs. In this role, you will design scalable, intelligent automation frameworks, influence architectural decisions, and leverage AI/LLM-powered tools for smarter test generation, faster failure analysis, and actionable quality insights-delivering reliable, high-impact releases to millions of users worldwide. This role sits at the intersection of test engineering, AI-assisted quality tooling, and operational systems design. You will architect automation frameworks that scale across large, content-rich applications, collaborate on LLM-powered quality tools, and build the knowledge and accountability systems that keep Apple's engineering teams in control of quality - even across a distributed, agency-driven delivery model. From hands-on test automation to vendor audits and data-driven operational oversight, you will be the connective layer between technical quality and scalable program execution. Drive architectural decisions for test frameworks that scale across large, content-rich applications, ensuring test results are trustworthy and actionable. Design, implement, and evolve test automation across web applications and services - including integration, functional, and E2E tests - ensuring reliability and long-term maintainability across diverse program types. Partner with engineers building AI-powered QE tools to apply LLM-based approaches to test generation, failure analysis, and quality insights. Establish knowledge

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