Quality Assurance

1. Test Strategy and Planning: Review requirements and user stories, and define test scope based on risk and business impact. Write test plans, test cases and checklists covering functional and non-functional requirements. Estimate testing effort and manage test priorities against sprint and release timelines.
2. Functional, Integration and Regression Testing: Test web, API and mobile applications as required by the project. Carry out functional, integration, regression, end-to-end and exploratory testing. Work with developers on unit and integration test coverage, and review it as part of the definition of done.
3. Test Automation: Design, build and maintain automated UI and API test suites (e.g. Playwright, Cypress, Selenium). Integrate automated tests into CI/CD pipelines and keep them stable and fast. Maintain regression suites and run them before every release.
4. Performance and Load Testing: Plan and run load, stress, spike and soak tests (e.g. k6, JMeter, Gatling). Define performance thresholds with the team and add them to CI where possible. Analyse results (response times, throughput, error rates, resource usage) and report bottlenecks.
5. AI in Testing: Use AI coding agents and assistants (e.g. Claude Code, Cursor, GitHub Copilot) to generate test cases, test data and automation scripts. Review AI-generated tests and application code for gaps, flaky waits, brittle selectors and false confidence. Test AI-powered features: non-deterministic outputs, prompt/response quality, safety and fallback behaviour.
6. Defect Management and Release Quality: Log, track and verify defects clearly in Jira (steps, evidence, environment, severity). Run smoke tests after deployments and report on release readiness and quality metrics. Run basic security checks (e.g. OWASP Top 10, OWASP ZAP) as part of regression.
7. Collaboration and Communication: Work closely with developers, DevOps, PMs and client stakeholders. Take part in sprint ceremonies and requirement reviews. Communicate testing status, risks and results clearly, including pushing back on unsafe releases. Essential Qualifications & Requirements: Bachelor's degree in Computer Science, Engineering, IT, or a related field. ISTQB certification or equivalent practical experience. 5+ years of QA experience covering both manual and automated testing. Strong understanding of QA methodologies, test design techniques, and the defect lifecycle. Hands-on experience with test automation, API testing, and performance/load testing on production systems. Experience working in Agile/Scrum delivery teams. Proficiency in test automation using Playwright, Cypress, or Selenium with TypeScript/JavaScript, Python, or Java. Experience with REST and GraphQL API testing using Postman or code-based frameworks. Understanding of unit and integration testing (Jest/Vitest, pytest, JUnit) and their role in the test pyramid. Experience with performance/load testing tools such as k6, JMeter, or Gatling, including analysing and reporting results. Practical experience using AI tools and coding agents (Claude Code, Cursor, GitHub Copilot, ChatGPT) for test generation, test data preparation, and analysis, with the ability to critically review AI-generated output. Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps) and Git. Working knowledge of SQL for data validation and test data setup. Experience using Docker for test environments and service dependencies. Proficiency with Jira and test management tools such as Qase.io or TestRail. Strong documentation and communication skills. Ability to demonstrate automation frameworks or test suites built or maintained. Ability to provide examples of performance/load tests designed, executed, and reported on. Ability to demonstrate practical applications of AI to improve testing efficiency or coverage.

Nice to Have

Experience testing AI/LLM-based features, including output evaluation, prompt testing, and guardrails. Mobile testing and automation experience using Appium, Espresso, or XCUITest, including device cloud platforms such as BrowserStack or Sauce Labs. Knowledge of security testing beyond the basics, using tools such as Burp Suite or OWASP ZAP.