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Quality Engineering Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: CUBE
Full Time position
Listed on 2026-02-20
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation, Data Analyst
  • IT/Tech
    IT QA Tester / Automation, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

CUBE are a global Reg Tech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and ever changing world of compliance for our clients.

Why us?

šŸŒ CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.

šŸš€ In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.

🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our ā€œmake it happenā€ culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.

🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success.

šŸ’” We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

Role Summary

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.

Purpose

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.

A core expectation of this role is championing AI‑assisted quality engineering — driving adoption of AI tools for test generation, defect analysis, and performance testing to maximise team productivity and testing effectiveness.

Key Responsibilities Quality Direction & Standards
  • Set the overall quality strategy and testing standards for the engineering group, ensuring consistency and effectiveness across UI and API testing.
  • Define and own the end-to-end integration testing approach, ensuring services and front‑end applications are validated together in realistic scenarios.
  • Own the performance and load testing strategy, ensuring systems are validated against non‑functional requirements before release.
  • Define and maintain quality gates, release readiness criteria, and risk‑based testing approaches across the group.
  • Select, standardise, and govern testing tooling across the group, evaluating tools for UI testing, API testing, integration testing, and performance/load testing — including AI‑powered testing tools.
  • Drive adoption of AI‑assisted quality engineering practices across teams, leveraging tools such as Git Hub Copilot and Claude for test generation, defect analysis, test data creation, and exploratory testing acceleration.
  • Ensure quality practices are embedded in CI/CD pipelines and delivery workflows.
  • Track and report on quality metrics across the group, using data to drive improvement and demonstrate quality ROI.
People Leadership & Team Management
  • Line‑manage the end‑to‑end integration and performance test team,…
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