QA Accessibility Engineer - PA26Q3QAJH96

Reporting to a senior member of the QA team, the QA Engineer will be primarily responsible for accessibility testing across Calastone’s client-facing web applications, ensuring compliance with WCAG 2.1/2.2 (Level AA) standards and delivering an inclusive user experience.

The role combines automated accessibility testing using Playwright with Axe integration, and manual accessibility evaluation using WAVE and Axe Chrome browser extensions. As a secondary focus, the role provides a pathway into broader UI test automation using Playwright - a highly transferable skill that strengthens both the individual’s career and the team’s overall automation capability.

The QA team uses AI-augmented workflows (Claude Code, MCP integrations) to accelerate test design, execution, and defect analysis. You will be expected to adopt these tools as part of your day-to-day work.

Accessibility Testing (Primary Focus)

• Build and maintain automated accessibility test suites using Playwright + Axe (@axe-core/playwright), integrated into the CI/CD pipeline.
• Perform manual accessibility audits using WAVE and Axe Chrome extensions, covering keyboard navigation, colour contrast, ARIA attributes, focus management, and screen reader compatibility.
• Triage and document accessibility defects with WCAG success criteria references and remediation guidance.
• Collaborate with front-end developers and UX designers to identify and fix accessibility barriers early in the development cycle.
• Champion accessibility best practices and contribute to internal standards documentation.

UI Test Automation (Transferable Skill)

• Develop and maintain Playwright-based UI test automation including functional, visual regression, and cross-browser testing.
• Build reusable page object models and test fixtures using C# and BDD tools (Reqnroll/SpecFlow).
• Automate REST API testing using Playwright or HttpClient.
• Support CI/CD integration via GitHub Actions.

AI-Enhanced QA Practices

• Use AI coding agents (Claude Code) and MCP server integrations to accelerate test creation, defect triage, and impact analysis.
• Contribute to prompt engineering and refinement of QA AI skills.

Collaboration

• Work with Engineering, Product, Operations, and DevOps teams to understand testing needs and priorities.
• Share knowledge and promote best practices across the QA team.
• Partner with developers to identify, document, and resolve defects.