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.
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.
Requires Bachelor's degree in Computer Science, a technical field, or a minimum of 3 years of relevant work experience.\nProficiency in Node.js or Python, with familiarity in the other.\nExperience with RESTful/GraphQL APIs and automated testing frameworks (e.g., Playwright, Jest, Selenium, XCUITest).\nExperience 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).\nExposure to or experience contributing to features leveraging AI/ML concepts, particularly with an interest in LLMs for quality improvements.
4+ years as a Software Engineer, including 3+ years in automation or platform tooling.\nGood understanding of Python for scripting and data processing, and proficiency in TypeScript/Node.js for platform services.\nFamiliarity with AI/ML techniques for data retrieval and generation (e.g., RAG) and related tools.\nExposure to integrating AI agents, quality policies, and data-driven dashboards into a platform.\nUnderstanding of software design principles including mocking, dependency injection, and distributed systems.\nUnderstanding of CI/CD pipeline architecture and shared execution environments (e.g., Kubernetes or internal schedulers).\nExperience with cross-platform automation frameworks (web, native, APIs) and an understanding of techniques to reduce test flakiness and improve signal reliability.\nExperience integrating REST and GraphQL services, and an understanding of API design principles.\nFamiliarity with strategies for creating and managing deterministic test data (e.g., seeding known records, masked subsets, synthetic data).\nAbility to communicate technical concepts clearly to diverse audiences.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 4c2b7c0278d742a6cae20249525a5f7e
- Posted 19 hours ago
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