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 enterprise platforms
- Experience with distributed test execution, parallelisation, flaky-test management, and modern reporting tools (Allure, pytest-html, or equivalent)
- Solid grasp of Git and version control workflows, clean code principles, and code review culture
- Working knowledge of Docker; familiarity with Kubernetes basics (jobs, namespaces)
- Exposure to testing AI/ML systems, or strong motivation to develop this expertise: evaluation of LLM outputs, handling non-deterministic responses, evals for RAG and agentic workflows
- Understanding of API design, microservices, event-driven architectures, and authentication layers
- Sound understanding of SAFe and DevOps principles; experience operating in an Agile Release Train is a plus
- Experience with Jira for Story/Feature tracking and test management integration (Xray, Agile Hive)
- Demonstrated end-to-end thinking — connecting user journeys, data flows, authentication layers, and system boundaries
- Comfortable working within an established Test Strategy, collaborating with Test Managers on execution planning, reporting, and compliance
- Demonstrated awareness of information security, data privacy, and compliant test data handling in regulated environments
- Collaborative team player with strong ownership takes automation problems from analysis to execution to resolution with minimal supervision
- Strong communication skills, able to work effectively with engineers, Product Owners, Scrum Masters, Architects, and Test Managers
- Strong organisational skills, structured, reliable
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Minimum 5-7 years in Test Automation with substantial hands-on Python experience, including demonstrated framework design, ownership, and test execution at scale (not only script-level contributions)
- Experience in a regulated environment (financial services, healthcare, pharma) strongly preferred
- Certifications in ISTQB (Foundation as baseline) SAFe (SP, SSM, or equivalent), or DevOps disciplines are a plus
- Exposure to AI/ML systems through testing, development, or applied projects is a strong plus; appetite to develop deep AI/ML testing expertise is essential
- Fluency in English; German is a plus
The international reference in wealth management Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them – in their business and personal life, today and for future generations.
Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo.
Why join Julius Baer?
- We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders.
- With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients.
- Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners.
- Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees.
- We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes.