Lead Quality Engineer
Role details
Job location
Tech stack
Job description
We're looking for a Lead Quality Engineer to shape and lead quality engineering across a major transformation programme within our Manheim Vehicle Services (MVS) platform.
This is a high-impact leadership role where you'll guide teams through the evolution from a legacy .NET monolith to a modern, cloud-native AWS architecture-while redefining how quality works in an AI-assisted development world.
You'll combine hands-on engineering expertise, strategic thinking, and people leadership to ensure we build software that is reliable, secure, and built to last.
?? What You'll Be Doing
?? Lead & Grow the QE Function
Lead, coach, and develop a team of Test Engineers and Analysts
Set the vision and standards for quality engineering
Act as a champion for quality across engineering and product
?? Own Quality in an AI-Driven Engineering Environment
Define quality guardrails for AI-generated and AI-assisted code
Evolve practices for testing, validation, and review
Shape how we maintain confidence in increasingly automated delivery
?? Drive Strategy & Delivery
Own and deliver the QA strategy and roadmap
Define approaches across:Functional and exploratory testing
Performance, security, and resilience
Lead automation strategy and tooling decisions
Provide clear, risk-based input into release decisions
?? Modernise Quality Engineering
Work across both legacy and modern platforms
Embed BDD and spec-driven development practices
Drive measurable improvements via metrics and KPIs
??? Our Tech Landscape
You'll operate across a modern, evolving stack:
Cloud: AWS
Backend: .NET / .NET Core
Frontend: React
Containers: Docker, EKS, ECS
Data: Aurora, DynamoDB, DocumentDB
Messaging: Kafka, SNS/SQS, EventBridge
CI/CD: GitHub Actions
Testing: Playwright, Cypress, Postman, K6, Shape the direction of quality across a complex, high-volume platform
Requirements
Essential Experience
Strong leadership experience in Quality Engineering / QA
Proven success delivering QA strategies with measurable outcomes
Deep knowledge of:Agile, CI/CD, modern SDLC
Test automation at scale
Hands-on experience with:Modern and legacy systems
API and performance testing
Cloud environments (AWS preferred)
Excellent stakeholder management and communication skills
Nice to Have
Experience working with AI-assisted or agentic development
Background in large-scale transformation or migration programmes
Familiarity with Docker, Terraform, observability tooling
Data testing and quality experience
?? How You'll Work
Value-driven: Focused on outcomes, not activity
Pragmatic: Able to balance speed, risk, and quality
Empathetic leader: Supporting teams through change
Collaborative: Partnering across engineering, product, and architecture