AI-Driven Test Engineer for Scoring Engine

About the role

We are looking for a hands‑on Test Engineer to own end‑to‑end quality outcomes for SEON’s core Scoring engine. The role focuses on AI‑native test engineering, building automated coverage and evolving quality harnesses while mentoring the team.

Key responsibilities

• Participate in owning the quality architecture for the Scoring engine, prioritising test strategies based on real‑world risk and standardising reusable patterns.
• Build reliable automated coverage across UI, API and deep service layers using BMAD‑TeA shift‑left methodologies.
• Operate as a power user of AI‑first IDEs, integrating specialised agents to rapidly scale test coverage for unit, integration and component layers.
• Act as an AI‑First Test Engineer during PR reviews to enforce quality gates, identifying boundary violations and edge cases missed by AI agents.
• Implement integration, k6 performance smoke tests and Pact contract testing directly into CI/CD pipelines to block cross‑service regressions.
• Proactively track new AI testing tools, sharing findings and prompting strategies to improve engineering velocity.

Required profile

• 3+ years of QA automation experience with deep knowledge of REST APIs and event‑driven systems.
• Hands‑on coding expertise in Java and test automation using Playwright with TypeScript.
• Demonstrated experience with AI‑driven development or test generation methodologies.
• Ability to treat AI‑generated output as a starting point, applying rigorous engineering judgement to correct logic errors or hallucinations.
• Proven ability to build and manage automated merge gates in CI/CD pipelines such as GitHub Actions.
• Strong communication skills to represent system health in feature discussions and produce high‑quality documentation.