AI-Driven Quality Engineer - Automation & CI/CD

BoF Careers

Nutley (NJ)

On-site

USD 120,000 - 170,000

Full time

29 hours ago

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Job summary

Ralph Lauren Corporation is seeking a hands-on Quality Engineer - Automation & AI in New Jersey. The role focuses on developing reliable UI, API, and end-to-end automation while modernizing frameworks and contributing to CI/CD pipelines.

You will create AI-assisted tools to improve testing efficiency and delivery feedback across teams, including QA, Product, Engineering, and DevOps. You will collaborate to improve test coverage, data handling, and framework compliance, using AI to accelerate

Qualifications

Bachelor's degree in computer science, Engineering, IT, related field or equivalent experience.
5+ years of hands-on experience in Quality Engineering, SDET, test automation, or software development.
Proficiency in Python, Java, or TypeScript with frameworks such as Playwright, Rest Assured, and Appium or similar automation tools, including reusable test components.
Experience building CI/CD pipelines and integrating automated test suites using Jenkins, Bitbucket, GitHub, or similar tools.
Hands‑on exposure to enterprise AI development tools and platforms such as Cursor, Microsoft Copilot, or comparable approved technologies.
Strong debugging, root‑cause analysis, communication, and collaboration skills.

Responsibilities

Develop and maintain automated tests for web, API, integration, and end-to-end business flows.
Build and modernize maintainable automation frameworks using reusable components, libraries, and engineering standards.
Optimize test execution, logging, reporting, troubleshooting, and maintainability across automation solutions. AI-Assisted Quality Engineering
Build reusable AI-assisted utilities that solve practical Quality Engineering challenges.
Use approved AI and LLM tools to accelerate test design, automation development, refactoring, and documentation
Apply AI to generate test data, analyze failures and logs, support defect triage, and improve test coverage.
Validate AI-generated outputs for accuracy, edge cases, maintainability, security, and framework compliance.
Integrate smoke, regression, API, and integration tests into CI/CD workflows using Jenkins, Bitbucket Pipelines, GitHub Actions, Azure DevOps, or comparable tools.
Implement automated quality gates and clear reporting to provide fast, actionable feedback to delivery teams.
Partner with Engineering and DevOps to improve test environments, deployment validation, and pipeline stability.
Identify repetitive testing and engineering activities and automate them through reusable tools for test data, environment setup, API validation, orchestration, and troubleshooting.
Contribute to technical discussions, design reviews, and code reviews with a focus on quality, testability, and automation.
Collaborate with globally distributed stakeholders and document standards, solutions, examples, and reusable automation patterns.