Senior AI/ML Test Automation Engineer

Julius Baer; Madrid; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Julius Baer seeks a Senior Test Automation Engineer to lead automation for the ML & AI ART platform. You will own architecture, implement scalable UI/API test automation, and drive quality across RAG, LLM-based assistants, and ML pipelines.

You will automate tests with Playwright-Python and API clients, build contract tests, and integrate them into GitLab CI/CD. Collaboration with cross-functional squads and data engineers is key.

Qualifications

• Proven expertise in Python-based test automation.
• Design and own test automation frameworks with reusable utilities.
• Hands-on CI/CD integration experience (GitLab preferred).
• Experience with distributed test execution and flaky-test management.
• Familiarity with AI/ML testing concepts is a plus.

Responsabilités

• Define and evolve test automation framework architecture for ML & AI ART.
• Design reusable test patterns for UI, API, and data pipelines.
• Automate tests using Python-based frameworks (UI, API, BDD).
• Build and maintain contract tests (Pact) for APIs.
• Integrate tests in GitLab CI/CD pipelines and Runners.
• Manage test environments with Docker and Kubernetes.
• Produce audit-ready test artefacts and reports.
• Collaborate with Product Owners, Engineers, and Test Managers.

Connaissances

Python-based test automation

Playwright-Python

BDD/Gherkin

API testing with requests/pytest

CI/CD integration

Docker

Kubernetes

GIT/version control

Test data management

Formation

Bachelor's or Master's in Computer Science/Engineering

Outils

Playwright-Python

Docker

Kubernetes

Git

Jira

Xray/Allure

Description du poste

Julius Baer seeks a Senior Test Automation Engineer to lead automation for the ML & AI ART platform. You will own architecture, implement scalable UI/API test automation, and drive quality across RAG, LLM-based assistants, and ML pipelines.

You will automate tests with Playwright-Python and API clients, build contract tests, and integrate them into GitLab CI/CD. Collaboration with cross-functional squads and data engineers is key.