Software Engineer (Quality), Retail and Marcom Engineering

Apple • Sunnyvale, CA

11d

About The Position

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 full-stack Software Engineer to turn internal tools into a
quality platform—shared services, APIs, and evaluation pipelines—for
development, QE, and production. You’ll apply modern AI/ML to expand automated
coverage, cut flakiness, and speed CI signal. Our work supports high-visibility
launches for millions of customers in 100+ languages.

DESCRIPTION

As a Software Engineer, you’ll contribute to the development and evolution of
the quality platform. You'll work within established frameworks to build and
extend its components—including orchestration, retrieval mechanisms, evaluation
harnesses, and APIs—to help scale quality across the portfolio.

Requirements

• Requires Bachelor’s degree in Computer Science, a technical field, or a minimum of 3 years of relevant work experience.
• Proficiency in Node.js or Python, with familiarity in the other.
• Experience with RESTful/GraphQL APIs and automated testing frameworks (e.g., Playwright, Jest, Selenium, XCUITest).
• Experience working with or contributing to shared CI/test infrastructure (e.g., understanding of infra flakiness, queue/start times) or familiarity with CI runner operations (e.g., GitHub Actions, Jenkins, or Harness).
• Exposure to or experience contributing to features leveraging AI/ML concepts, particularly with an interest in LLMs for quality improvements.

Nice To Haves

• 4+ years as a Software Engineer, including 3+ years in automation or platform tooling.
• Good understanding of Python for scripting and data processing, and proficiency in TypeScript/Node.js for platform services.
• Familiarity with AI/ML techniques for data retrieval and generation (e.g., RAG) and related tools.
• Exposure to integrating AI agents, quality policies, and data-driven dashboards into a platform.
• Understanding of software design principles including mocking, dependency injection, and distributed systems.
• Understanding of CI/CD pipeline architecture and shared execution environments (e.g., Kubernetes or internal schedulers).
• Experience with cross-platform automation frameworks (web, native, APIs) and an understanding of techniques to reduce test flakiness and improve signal reliability.
• Experience integrating REST and GraphQL services, and an understanding of API design principles.
• Familiarity with strategies for creating and managing deterministic test data (e.g., seeding known records, masked subsets, synthetic data).
• Ability to communicate technical concepts clearly to diverse audiences.

Responsibilities

• Contribute to the development and evolution of the quality platform.
• Work within established frameworks to build and extend its components—including orchestration, retrieval mechanisms, evaluation harnesses, and APIs—to help scale quality across the portfolio.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level