AI-Driven Software Engineer in Test

Feedzai; Portugal; Híbrido; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Feedzai is seeking a Quality Assurance Engineer to elevate QA standards across concurrent projects with a Quality First mindset. You will design AI-enabled QA workflows, automate tests in Java and Python, and collaborate with engineering to ensure high-quality releases from design to deployment.

You will work across API, UI, and integration testing within CI/CD pipelines, mentoring teams on best practices and continuously improving the testing ecosystem.

Qualificações

• 3+ years of experience in Software Engineer in Test, QA Automation, or similar role.
• Proficient with Docker and Kubernetes in containerized environments.
• Familiar with Agile/Scrum practices and sprint rituals.
• Strong Git skills; branching, PR reviews, merges.
• Proficient in Java and Python for test framework development; Bash scripting.

Responsabilidades

• Develop test strategy and plan testing activities per project scope.
• Decide test types per project (API, UI, integration, regression, E2E).
• Build, scale and improve CI/CD tooling and dashboards.
• Balance capacity across multiple concurrent projects without sacrificing quality.
• Write and maintain automated test scripts and shell scripts in Java, Python, Bash.
• Mentor teams on Quality First practices and Agile processes.
• Explore AI tools and agents to improve QA automation.

Conhecimentos

SET/QA Automation

Docker & Kubernetes

Agile/Scrum

Git & CI/CD

Java & Python

API/UI/Integration

AI QA tooling

Ferramentas

Jenkins

GitLab CI

Jira

Descrição da oferta de emprego

Feedzai is seeking a Quality Assurance Engineer to elevate QA standards across concurrent projects with a Quality First mindset. You will design AI-enabled QA workflows, automate tests in Java and Python, and collaborate with engineering to ensure high-quality releases from design to deployment.

You will work across API, UI, and integration testing within CI/CD pipelines, mentoring teams on best practices and continuously improving the testing ecosystem.