• Develop and execute test plans based on software requirements • Conduct thorough testing to ensure the quality and functionality of software applications • Perform manual testing of web and mobile applications • Document and track software defects • Utilize tools such as Asana, JIRA, Azure DevOps, and Chrome Developer Tools for issue tracking • Perform regression testing to ensure new features do not negatively impact existing functionality • Work closely with cross-functional teams to understand project requirements • Stay updated on industry best practices and emerging technologies relevant to software quality assurance

• Engage with requirements and acceptance criteria before development begins, identifying gaps, ambiguities, and edge cases early. • Contribute to design and refinement discussions to flag testability and quality risks while they are still cheap to fix. • Collaborate with stakeholders to define test objectives, scope, and approach aligned to project milestones. • Write and maintain automated test suites spanning UI, API, contract, and integration layers using TypeScript and Puppeteer (or equivalent tools). • Contribute to framework improvements and scaling of automation coverage across the feature area. • Use AI tooling consistently for test design, test data generation, edge-case identification, and debugging and critically evaluate AI outputs before incorporating them. • Stay current with evolving AI testing tools and advocate for their adoption where they improve coverage or efficiency. • Run security testing tools and a11y checks; interpret and report findings, applying OWASP Top 10 and basic manual accessibility validation (keyboard, contrast, screen reader). • Maintain quality gates in the CI/CD pipeline and ensure automated suites run reliably on every build. • Monitor production alerts and dashboards post-deployment; own post-deploy validation to confirm releases meet quality expectations. • Document defects with detailed descriptions, reproduction steps, expected vs actual results, and severity classification. • Collaborate with development teams to investigate, troubleshoot, and verify defect resolutions against acceptance criteria. • Track, analyse, and report on feature-level quality metrics (defect escape rate, test coverage, automation pass rates); maintain well-organised test documentation for team and stakeholder access. • Translate quality findings into customer-impact language, what's broken for users, who feels it first, and what changes when we fix it -not just defect counts, test pass rates, or coverage numbers. • Actively participate in sprint planning, refinement, and stand-ups, raising quality and testability risks early in each cycle. • Partner with product managers, developers, and DevOps to ensure quality is built in across the delivery lifecycle, not bolted on at the end. • Support the onboarding of junior QA team members and share knowledge and best practices across the team.

• Drive end-to-end quality assurance for an advanced Agentic AI platform • Define quality standards and develop automated evaluation frameworks • Lead test strategy and ensure release readiness for AI-powered conversational solutions • Build evaluation harnesses and create test plans • Execute regression testing and validate data quality • Conduct AI safety and prompt injection testing • Manage defect triage and lead a team of QA and Data Testers • Collaborate closely with engineering, product, architecture, and data teams to ensure delivery of reliable and high-quality AI solutions

• Product requirements analysis and gathering • Estimating the required testing time • Control product quality • Communicating with developers, product managers and customer success team • Executing various types of testing activities including functional and regression testing on web projects • Creation QA documentation (test cases/checklists/test summary report)