• Contribute to quality processes across planning, development, and release stages of the SDLC • Use AI-assisted development tools to design, generate, validate, and maintain test assets at scale • Review and critically evaluate AI-generated test output before it enters the repo, catching false positives, coverage gaps, and brittle assertions • Collaborate with developers, product teams, and QA leadership to define quality standards and communicate risk clearly • Think beyond local scripts, understand how test solutions scale from 10 to 10,000 and architect accordingly • Adapt processes quickly in response to a changing product environment

• Implement strategies that improve release integrity — from automation in CI/CD pipelines to validation processes that increase confidence in deployments. • Instrumenting quality health metrics and dashboards that give teams clear visibility into product stability, release readiness, and test effectiveness. • Driving internal tooling initiatives that improve the developer experience and enable teams to test, measure, and ship with higher confidence. • Partnering across engineering, infrastructure, and product to identify opportunities for system-level quality improvements and advocate for automation-first approaches. • Using data and experimentation to continuously refine our approach to quality and ensure we’re focusing on the most impactful areas. • Working with your fellow engineers to develop first class quality measures that align with overall quality strategy, with a focus on monitoring and observability

• Work with the Engineering and Product team to coordinate, develop, and help execute the test plans. • Participate in product requirements and design reviews with product managers and other engineers to ensure strong UI-UX and functional standards. • Develop effective Test plans and Test cases for the functional areas to be tested. • Execute test cases during the development sprints and document results. • Design, build, and maintain a scalable test automation strategy and suite targeting UI, UX, and APIs using modern tools like Playwright. • Own the regression testing of the product and build tools to automate and facilitate the regression testing process. • Leverage AI testing tools and AI solutions to optimize test generation, accelerate debugging, and solve complex QA challenges. • Drive adoption of best practices in code health, testing, and maintainability. • Analyze and decompose complex software systems and collaborate with and influence others to improve the overall design.

• Analyze science, engineering, business, and other data processing problems to implement and improve computer systems • Analyze user requirements, procedures, and problems to automate or improve existing systems • Review computer system capabilities, workflow, and scheduling limitations • Analyze or recommend commercially available software