• Add automated tests: throughout the different Scrum iterations, you contribute to the implementation of User Stories for various squads • Test APIs and the graphical user interface behavior with an end-to-end and functional approach • Evolve the test automation strategy in collaboration with other Product teams • Ensure monitoring and stability of the automated test suite • Analyze discrepancies between expected and actual results • Track the resolution of bugs identified by automated tests • Support teams in adopting and implementing QA tools and best practices • Contribute to the development and improvement of the test framework.

• Own and execute manual testing activities during the development lifecycle, ensuring new features are thoroughly validated as part of the agile process. • Collaborate closely with engineers and product managers to define acceptance criteria, test strategies, and edge cases early in the development cycle. • Contribute to building and maintaining automated tests for API and UI layers, helping to expand coverage and reduce regression risk. • Support and evolve test environments, frameworks, and tools to improve test efficiency and reliability. • Use AI-assisted engineering tools, coding agents, and test generation techniques to accelerate test creation, improve coverage, debug failures, and support faster feedback loops. • Review AI-generated or AI-assisted test artifacts critically, ensuring tests validate business outcomes, system behavior, edge cases, and failure modes rather than only basic technical responses. • Monitor and communicate test results, escalate risks, and champion continuous improvements in quality practices and delivery speed.

• Build, expand, and optimize robust UI and API automation test suites using Playwright and TypeScript as the primary stack. • Maintain and scale existing automation architectures, implementing modular, highly maintainable Page Object Models (POM) and step abstractions. • Write resilient automation logic handling asynchronous control flows, custom promises, network interceptors, and robust element visibility loops. • Actively leverage next-generation AI coding tools (Cursor IDE, Claude 3.5 Sonnet/Opus, ChatGPT, Gemini) to accelerate test generation, script refactoring, and framework optimization. • Seamlessly integrate automated test execution suites into CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) to manage scheduled regression and night-run jobs. • Partner with product and engineering teams during planning and walkthroughs to map out acceptance criteria, translating them directly into automated and selective manual test coverage. • Isolate, document, and track software defects meticulously using Jira, collaborating directly with development teams to accelerate hotfixes. • Helps write and maintain test plans, test environments, test cases, automated and manual test scripts

• Design and evolve code-based data quality frameworks (Quality as Code). • Develop and implement automated quality validations. • Define quality strategies for structured and unstructured data. • Build controls, rules, and continuous monitoring mechanisms. • Implement alerts and proactive failure-detection processes. • Support the definition and tracking of data quality metrics. • Participate in the investigation and resolution of data-related incidents. • Collaborate with engineering, analytics, and data governance teams. • Propose continuous improvements to increase corporate data reliability.