Quality Engineering Lead
- London, United Kingdom
- Lead/Staff
- Posted
Skills
Required
- test automation / quality engineering
- automated tests
- backend systems / REST APIs / distributed platforms
- programming
- C#
- JavaScript / TypeScript
- risk-based test strategies
- Agile software delivery
- stakeholder management
- Playwright
- web UI
- end-to-end testing
- SQL
Preferred
- AI-enabled testing approaches
- ISTQB
Quality Engineering Lead Technology | Hybrid Role Summar y The Quality Engineering Lead will own Vave’s quality engineering approach and matrix manage the Test Automation Engineers. This is a hands-on leadership role, combining people management, test strategy and automation engineering across Vave’s API-first insurance platform and supporting web applications.
About Acrisure
Vave Vave is a technology-driven property managing general agent that combines data, science and precision underwriting to provide instantly bindable quotes for catastrophe-exposed property risks in the US.
Acrisure completed its acquisition of Vave from Canopius Group on 1 April 2026.
Vave now operates within Acrisure Underwriting while retaining its brand and founding management team, and continues to expand its technology capabilities, products and market reach.
Responsibilities
- You will set clear standards, own the framework, work with developers & product teams to embed quality throughout the software delivery lifecycle.
- You will remain actively involved in automation, release readiness and the investigation of complex defects.
- Key Responsibilitie s • Own quality engineering: Define a pragmatic, risk-based test strategy, quality standards and release readiness criteria across delivery teams. • Lead the team: Manage, coach and develop the Test Automation Engineers. • Drive automation: Guide the design and maintenance of automated tests for APIs, web applications, backend services and supporting platforms, including functional, integration and regression coverage. • Embed testing in delivery: Ensure automated tests run effectively within CI/CD pipelines and strengthen shift-left testing within Agile teams. • Assure requirements: Work with developers and product teams to improve acceptance criteria, testability, coverage and edge-case analysis. • Improve outcomes: Use meaningful quality measures to improve release confidence, reduce escaped defects and identify opportunities for continuous improvement. • Support delivery: Review automation, investigate complex defects and production issues, and provide hands-on testing support for high-risk changes. • Promote innovation: Define risk-based testing for AI-enabled systems, covering output quality, consistency, robustness and data protection.
- AI-assisted approaches where they provide secure, controlled and measurable improvements to test design, automation or analysis.
Requirements
- Skills and Experienc e • Experience leading and developing test automation or quality engineering teams. • Strong hands-on experience designing automated tests for backend systems, REST APIs or distributed platforms. • Strong hands-on programming experience in C# is essential; JavaScript/ TypeScript experience is secondary. • Ability to define risk-based test strategies and translate functional and non-functional requirements into effective test coverage. • Strong understanding of Agile software delivery and close collaboration with developers and product teams. • Clear communication, stakeholder management and analytical problem-solving skills.
- Environment Core testing technologies include C# for test automation, Playwright for web UI and end-to-end testing, bUnit for Blazor component testing, and JMeter for performance and load testing.
- JavaScript/ TypeScript are also in use.
- C#/ JavaScript Test automation frameworks
- Postman SQL and data validation REST APIs Azure-hosted applications and services
- Gherkin / BDD Event-driven architectures CI/CD pipelines
Preferred
- Insurance, financial services, fintech or other complex transactional platforms. • Performance, resilience, contract, compatibility or security testing. • Experience evaluating and testing AI-enabled systems • AI-enabled testing approaches and tools. • ISTQB or equivalent practical experience.
- What we're looking for A pragmatic, technically credible lead who can develop people, set direction and remain close to delivery.
- You will be comfortable coaching engineers, leading automation and working with technical and business stakeholders to deliver reliable software at pace.
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