Quality Engineering Manager leading end-to-end integration and performance testing for regulatory compliance solutions. Ensuring software quality through AI-powered tools and effective testing strategies.
Responsibilities
Set the overall quality direction for the quality engineering group, directly leading a team of end-to-end integration and performance testers.
Own tooling and test standards, lead the cross-cutting testing guild across UI and API testing, and ensure quality is embedded in delivery across all squads.
Champion the adoption of AI-powered tools and practices to accelerate testing, improve defect detection, and drive productivity across the quality engineering function.
Own the quality engineering capability for the group, ensuring teams deliver reliable, performant software through effective testing strategies, tooling, and standards.
This role contributes to the organisation's mission by setting the quality bar across squads, building and leading a dedicated end-to-end integration and performance testing team, and driving a culture of quality ownership through the testing guild.
The QA Manager balances people leadership and strategic quality direction with hands-on involvement in test approach, tooling decisions, and mentoring.
Track and report on quality metrics across the group, using data to drive improvement and demonstrate quality ROI.
Requirements
Strong understanding of the quality engineering domain and delivery context, with the ability to partner with quality leads on direction.
Experience leading and managing a QA or test team, including hiring, performance management, and development.
Expert knowledge of end-to-end integration testing across multi-service architectures.
Strong experience with performance and load testing tools, approaches, and analysis (e.g. k6, JMeter, Gatling, or equivalent).
Deep knowledge of both UI testing (e.g. Playwright, Cypress, Selenium) and API testing (e.g. Postman, REST Assured, or equivalent) approaches.
Experience defining and governing testing tooling and standards across multiple teams.
Ability to set quality metrics, track trends, and use data to drive improvement.
Exceptional communication skills across technical and non-technical stakeholders, skilled at quality status and risk communication.
Experience leading a community of practice or guild model.
Strong coaching and mentoring skills with a track record of developing testers.
Experience driving adoption of AI-powered tools (e.g. GitHub Copilot, Claude, AI-assisted test generation) to accelerate quality engineering practices, including test creation, defect analysis, and performance testing.
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