A senior-level example of a practical, scalable, and risk-oriented QA strategy used in modern Agile and CI/CD environments.
This repository demonstrates how quality can be embedded across the entire software lifecycle — not as a final validation phase, but as a continuous engineering discipline.
I approach Quality Engineering as a strategic function that reduces production risks, increases deployment confidence, and supports scalable growth.
This project reflects:
- Risk-Based Testing strategy
- CI/CD quality gates
- API & UI validation structure
- Release decision framework
- Measurable quality signals
- Clear communication with stakeholders
- Quality Engineering vs Traditional QA
- Risk-Based Prioritization
- Automation as Deployment Confidence
- CI/CD as Quality Enabler
- Metrics-Driven Decisions
- Preventive vs Reactive Quality
I believe senior QA is defined by influence, not only execution.
My workflow focuses on:
- Anticipating risks before implementation
- Challenging unclear requirements early
- Designing test strategies aligned with business impact
- Defining measurable quality signals
- Automating what protects the business, not everything
- Reducing flakiness and maintaining automation health
- Acting decisively during release risks and incidents
Quality is not about finding bugs. It is about preventing incidents.
A release should only move forward when objective signals confirm stability.
Example Quality Gates:
- Smoke suite must pass (CI trigger)
- Critical APIs contract validation must pass
- High-risk regression coverage executed
- No open critical defects
- Automation pass rate above defined threshold
- Flakiness rate below acceptable tolerance
- Performance baseline within expected limits
Deployment is a decision supported by evidence.
- Test Strategy
- Test Plan
- Risk Matrix
- Entry & Exit Criteria
- Templates (Bug, Report)
- API Checklist
- Regression Checklist
André Felipe Morais
QA Automation Engineer | Risk-Based Testing | CI/CD Quality