Full Description

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. As a risk management generalist at PwC, you will provide advisory and practical support to teams across a wide range of specialist risk and compliance areas. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities

Position Summary We are looking for a Senior Full Stack QA Engineer to join our dynamic team working on Concourse. This role integrates hands-on functional testing expertise with a strong automation and backend engineering skill set. The ideal candidate possesses over 5 years of combined experience in manual and automated testing of web and API applications, contributing to quality assurance strategies across all layers of software architecture.

Hybrid Location: CDMX, MTY, GDL, QRO

Key Responsibilities Lead and contribute technically to QA initiatives within Agile/Scrum teams, ensuring comprehensive test coverage across frontend, backend, APIs, and integration points. Design, develop, and maintain scalable automation frameworks leveraging tools such as Playwright, Selenium, or Cypress. Collaborate closely with developers, DevOps, and product teams to implement shift-left testing, embedding quality early in the software development lifecycle. Execute end-to-end validation combining manual, exploratory, and automated testing approaches to assess functionality, performance, and data integrity. Mentor QA engineers on best practices in testing strategy, framework design, and code quality to enhance team capabilities. Define and track key quality metrics, driving continuous improvement in test coverage and defect prevention. Explore and integrate AI-driven testing methodologies to optimize automation efficiency, test data management, and defect prediction. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Minimum 5 years of hands-on experience in software testing and automation across frontend and backend systems. Proficient with automation frameworks such as Playwright, Selenium, Cypress, or Robot Framework. Strong programming skills in TypeScript, JavaScript, React, Node.js, Java, or Python. Experience in API automation testing using REST, GraphQL, Postman, or REST Assured. Solid understanding of web application architecture, microservices, and database testing with SQL/NoSQL. Familiarity with CI/CD pipelines (Jenkins, GitLab, Azure DevOps) and BDD/TDD methodologies (Cucumber, Spec Flow). Knowledge of performance, security, and end-to-end testing best practices. Exposure to cloud platforms such as AWS, Azure, or GCP is an advantage. Excellent analytical, problem-solving, leadership, and communication skills. Experience with AI-based testing solutions is highly desirable.