Software Development Engineer in Test

Summary
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.

Description
As a Software Development Engineer in Test (SDET), you will lead efforts to build and scale test automation and shared quality services across web applications and APIs. This role spans automation frameworks, CI/CD pipelines, and quality workflows, including building and operating AI/LLM-assisted capabilities that improve coverage, reduce flakiness, and accelerate time-to-signal.

Responsibilities

• Drive architectural decisions for test frameworks, ensuring scalability, maintainability, and high signal for large, content-rich applications.
• Design, implement, and evolve scalable test automation across web applications and services, including integration, functional, and E2E tests, ensuring reliability and maintainability.
• Lead and optimize automation workflows for test execution, data management, and reporting across development and test environments, delivering scalable, reliable, and timely feedback for teams.
• Partner with engineers building AI-powered QE tools to apply LLM-based approaches to test generation, failure analysis, and quality insights.
• Collaborate with SDETs, quality engineers, and software teams to define framework standards, shared utilities, and best practices.
  
  

Minimum Qualifications

• Bachelor's degree in Computer Science, a related technical field, or 5 years of relevant industry experience.
• Proficiency in Node.js/Typescript with hands-on experience building or maintaining web test automation and related tooling. Some experience using Python for scripting or data-related tasks is a plus.
• Experience testing web applications using modern automation frameworks such as Playwright, WebdriverIO or XCUITest, including practices for scalable, reliable, and maintainable test automation.
• Experience testing APIs, including RESTful and/or GraphQL services, with automated frameworks (e.g., TypeScript/Node.js, Java REST-assured, or Python) and an understanding of API design principles.
• Experience working with CI/test infrastructure, including improving reliability and feedback speed (e.g., reducing infrastructure-related flakiness or job queue delays), or operating CI runners and executors using tools like GitHub Actions, Jenkins, or Harness.
  
  

Preferred Qualifications

• Deep experience with Playwright or WebdriverIO including best practices for browser automation, fixtures, parallelization and network interception.
• Experience applying a quality engineering mindset to improve coverage, reliability, and confidence in large-scale web applications.
• Familiarity with AI-assisted quality techniques, such as using LLM-enabled tools for test generation, failure analysis, triage, or supporting CI/CD quality gates.
• Experience improving testability of features by collaborating with software engineers and making deliberate choices around mocking, dependency management, and validating component and service interfaces.
• Solid understanding of CI/CD pipeline architecture with experience improving reliability, performance, and feedback speed.
• Experience with cross-platform automation (web, native, APIs) and techniques to reduce test flakiness, improve time-to-signal and result reliability.
• Exposure to federated GraphQL or schema composition is a plus.
• Familiarity with deterministic test data strategies, including seeding known records, masked production subsets, synthetic or golden datasets and versioning
• Strong communication skills, with the ability to explain technical systems and tradeoffs clearly to both technical and non-technical audiences.
  
  

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