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DigitalTurbine Quality Assurance Automation Architect United States, North Carolina, Durham 373010657
21.09.2025
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About the Quality Assurance and Automation Architect:
- Define, design, and implement the QA and test automation strategy for our portfolio of products.
- Collaborate closely with QA Leads and Managers on projects and recommend tools and techniques to optimize testing.
- Research and suggest test methodologies and tools
- Develop, maintain, and optimize scalable and reusable automation frameworks for mobile, web, and API testing.
- Collaborate closely with product, engineering, and DevOps teams to integrate quality throughout the entire software development lifecycle, from ideation to deployment.
- Act as a subject matter expert on software quality, providing technical guidance and mentorship to other engineers.
- Drive the adoption of best practices in software quality, including continuous integration/continuous delivery (CI/CD) and shift-left testing.
- Establish and report on key quality metrics (e.g., test coverage, defect leakage, performance benchmarks) to inform technical decisions and improve product quality.
- Troubleshoot and debug complex technical issues and provide root cause analysis.
About you as the Quality Assurance and Automation Architect:
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
- Minimum of 8+ years of experience in software quality assurance, with a focus on designing and building automation frameworks.
- Deep expertise in test automation for various platforms and technologies, including:
- Mobile Platforms: Experience with native mobile application automation using tools and frameworks like Appium, Espresso, and XCUITest. Strong proficiency in Java, Kotlin, and/or Swift/Objective-C is essential. Experience with firmware or on-device software testing is a significant plus.
- Web & API Platforms: Experience with large-scale web and API automation using frameworks like Cypress, Playwright, or Selenium. Strong proficiency in languages such as Python, JavaScript/TypeScript, or Java. Experience with data-intensive systems, including programmatic advertising platforms, is highly desirable.
- Proven experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
- Strong understanding of microservices architecture, cloud environments (e.g., AWS, GCP), and containerization (e.g., Docker, Kubernetes).
- Experience with performance, load, and security testing.
- Excellent communication, problem-solving, and collaboration skills.
- AI Core Concepts: Understanding the fundamentals of AI/ML and how they apply to the testing process.
- AI Tooling: Familiarity with AI-powered development and testing tools (Gemini, MCP Servers, )
- AI Strategic Use: Knowing how to leverage AI for tasks like generating tests and optimizing test suites.
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