At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

You will join our ML & AI ART as a Senior Test Automation Engineer, responsible for the technical test automation solution supporting our AI and MLOps platform. The platform powers AI-driven capabilities across the Bank including RAG systems, LLM-based assistants, agentic workflows, and ML pipelines serving business-critical use cases. You will own the architecture, implementation, and execution of our test automation frameworks, covering both traditional software components (APIs, UIs, data pipelines) and emerging AI/ML-specific behaviour, and act as the Test Automation Ambassador within the ART. You will work within the Bank's Test Strategy, while owning the technical depth and hands-on delivery of automation for your platform.

YOUR CHALLENGE

Define and evolve the technical test automation approach and framework architecture for the ML & AI ART, aligned with the Bank's Test Strategy and Test Policy

Design reusable, scalable test automation patterns (page objects, API clients, test data builders) that other engineers across squads can adopt, ensuring technical consistency of test automation across the ART

Analyse and evaluate requirements, Features, and Stories for testability during PI Planning, Backlog Refinement, and Iteration Planning

Derive test cases from technical and risk analysis of both functional and non-functional requirements (reliability, performance, security, usability, robustness), selecting appropriate test techniques and automation scope based on risk, coverage goals, and ROI

Automate identified test cases using Python-based frameworks - Playwright-Python for UI, requests + pytest for APIs, Behave or pytest-bdd for BDD/Gherkin - applying clean code principles, reusability, readability, and stability

Design and implement AI/ML-specific test cases: evaluation pipelines for LLM outputs

Build and maintain contract tests (e.g. Pact) for platform APIs and microservice boundaries

Integrate and orchestrate automated tests in GitLab CI/CD pipelines, including merge request pipelines, GitLab runners

Leverage Docker and Kubernetes to provision isolated, reproducible test environments

Plan, schedule, and trigger automated test executions across environments (DEV, INT, UAT, pre-PROD) - including regression suites, smoke tests, release executions, and on-demand runs tied to merge requests and PI milestones

Monitor execution health, investigate and quarantine flaky tests, and maintain a low false-positive rate to keep quality signals trustworthy

Triage execution results, raise defects in Jira with evidence (logs, traces, screenshots, videos), and communicate quality signals to the squad, Product Owner, and Test Manager

Produce execution evidence (run metadata, artefacts, reports) suitable for audit and release governance, in line with the Bank's Test Policy and retention requirements

Contribute actively to PI Planning, System Demos, Inspect & Adapt, and other SAFe ceremonies as part of the ML & AI ART

Ensure end-to-end traceability from Jira Features and Stories - automated tests - defects - test results, leveraging the Bank's test management integration

Author and maintain BDD scenarios in Gherkin, linked to acceptance criteria on Stories

Collaborate closely with Product Owners, Scrum Masters, ML Engineers, MLOps Engineers, and Data Engineers across squads

Align work with the Bank's Test Strategy, and reporting requirements, supporting audit-ready artefacts, traceability matrices, and test progress reporting

Support root cause analysis of defects using logs and traces

Act as Test Automation Ambassador within the ML & AI ART consulting squads on automation design, framework usage, tooling choices, and test data strategy

Prepare test data, ensuring synthetic or anonymised data is used wherever possible to meet confidentiality expectations

Design AI/ML-specific test datasets where needed

Own test maintenance and refactoring in response to UI, API, model, or prompt changes, ensuring continued compliance with access controls and test environment policies

YOUR PROFILE

Proven expertise in Python-based test automation: Playwright-Python (UI), Behave or pytest-bdd (Gherkin/BDD), requests + pytest (API/service validation practical equivalence to REST-Assured)

Demonstrated ability to design and own test automation frameworks, not just write test scripts including reusable utilities and maintainability patterns

Hands-on experience integrating and executing automated tests within CI/CD pipelines, ideally GitLab or equivalent ent

📌 Senior Test Automation Engineer 100% (Madrid)
🏢 Julius Baer
📍 Madrid