Quality Engineer

Job description

POSITION OVERVIEW

Who we are: Ralph Lauren Corporation is a global leader in the design, marketing, and distribution of premium lifestyle products across apparel, home, accessories, and fragrances. Ralph Lauren is recognized globally for timeless style, premium experiences, and a distinctive brand portfolio serving customers across international markets.

Purpose & Scope

Ralph Lauren Consumer Technology is seeking a hands-on Quality Engineer – Automation & AI to develop reliable UI, API, integration, and end-to-end automation. The engineer will modernize reusable frameworks and utilities, contribute automated quality checks to CI/CD pipelines, and use approved AI-assisted tools to improve testing efficiency and delivery feedback. Working across Quality Engineering, Product, Engineering, and DevOps, this role will improve execution reliability, test coverage, reporting, and delivery feedback while resolving automation, data, environment, and integration issues.

The engineer will also create practical AI-assisted accelerators for test design, code development, test data, failure analysis, and documentation, with all generated outputs reviewed for accuracy, maintainability, security, edge cases, and compliance.

Responsibilities

ESSENTIAL DUTIES & RESPONSIBILITIES

Automation Development Develop and maintain reliable 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. CI/CD and Continuous Quality 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. Engineering Productivity and Collaboration 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.

Qualifications

Required 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.

Preferred Qualifications

Demonstrated experience in applying LLMs, retrieval-augmented generation (RAG), AI agents, and agentic workflows to enhance test generation, failure analysis, test optimization, self-healing automation, and ongoing maintenance. Experience with prompt engineering, prompt regression testing, AI evaluation, and safety guardrails. Experience building reusable automation utilities, internal engineering tools, or accelerators, including modernization or migration of automation frameworks.

Knowledge of microservices, cloud-native applications, containers, distributed systems, SQL, data validation, and test-data management. Full stack development experience is a plus. What You Bring Strong bias for action - proactively identify quality risks and translate innovative ideas into practical, scalable QE solutions. Challenge conventional approaches, experiment responsibly, and implement prototypes, reusable accelerators, and production-ready improvements.

Drive end-to-end ownership from requirements through implementation, adoption, and support while balancing speed, maintainability, security, and responsible AI validation. Share reusable patterns and lessons learned to strengthen engineering capability across the QE team. Ralph Lauren will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance laws.

Please note background checks will be evaluated individually.