
QA (automation) engineer - end to end
Priva
QA (automation) engineer - end to end
Priva is seeking a QA (automation) engineer for end-to-end testing to work on-site in De Lier, Netherlands. The role focuses on establishing a coherent end-to-end quality approach across platform capabilities, building automated tests, and integrating them into CI/CD pipelines. Candidates must have professional experience in integration, system, or end-to-end testing of distributed software systems and strong test-automation skills.
QA (automation) engineer - end to end
Priva is seeking a QA (automation) engineer for end-to-end testing to work on-site in De Lier, Netherlands. The role focuses on establishing a coherent end-to-end quality approach across platform capabilities, building automated tests, and integrating them into CI/CD pipelines. Candidates must have professional experience in integration, system, or end-to-end testing of distributed software systems and strong test-automation skills.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Create and maintain a platform-level end-to-end test strategy covering critical customer and operational journeys across services.
- Map system boundaries, dependencies, data flows and failure modes, then translate the highest risks into executable test scenarios.
- Build and maintain automated tests that exercise real service interfaces and representative environments.
- Bring existing team-level test frameworks and suites into a coherent approach, reusing what works and removing unnecessary duplication.
- Define test data, environment, identity and dependency-management patterns that make cross-service tests repeatable and diagnosable.
- Integrate smoke, regression and end-to-end suites into CI/CD pipelines with useful reporting and clear ownership of failures.
- Coordinate cross-team test preparation for changes that affect multiple services, consumers or production environments.
- Use telemetry, logs, traces and test evidence to diagnose failures and distinguish product defects from environment or data issues.
- Assess release risk, communicate residual risk clearly and help teams make evidence-based release decisions.
- Coach engineers and QA colleagues in testability, system-level thinking and effective automation.