Senior Test Manager & Quality Engineer 100% (f/m/d) at Julius Baer International Limited

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML Testing, Playwright, Pytest, GitLab CI/CD, SAFe, API Testing, Docker, Kubernetes, Jira, Xray, BDD/Gherkin, LLM Evaluation, RAG, Clean Code, Test Automation

Industry

Banking

Description

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. Join our ML & AI ART as a Test Manager & Quality Engineer responsible for testing AI & ML solutions throughout their life-cycle. Focus will be on assessing the quality of developed solutions already in the development phase and give active feedback/collaborate with the ML Engineer teams. You are the gatekeeper before a solution goes into evaluation by Model Risk Management and also before Go-Live. You will also own the testing and quality assurance of technical components that are provided by the platform team such as model APIs, agent repository and other components. implementation, and execution of our test automation frameworks, covering both traditional software components YOUR CHALLENGE Ensure delivery quality and proper testing of AI use cases Define and evolve the technical testing approach and framework architecture for the ML & AI ART, aligned with the Bank's Test Strategy and Test Policy Design reusable, scalable testing patterns (page objects, API clients, test data builders) that other engineers across squads can adopt, ensuring technical consistency of testing 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 Integrate and orchestrate automated tests in GitLab CI/CD pipelines, including merge request pipelines, GitLab runner 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 Triage execution results, raise defects in Jira with evidence (logs, traces, screenshots, videos), and communicate quality signals to the squad and Product Owner Contribute actively to PI Planning, System Demos, Inspect & Adapt, and other SAFe ceremonies as part of the ML & AI ART Prepare test data, ensuring synthetic or anonymised data is used wherever possible to meet confidentiality expectations YOUR PROFILE Hands-on experience integrating and executing tests for AI solutions and/or large scale data projects 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 workflow 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 Collaborative team player with strong ownership takes automation problems from analysis to execution to resolution with minimal supervision Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum 5–7 years with data & ML platforms and their Quality Assurance and/or Testing 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 Strong communicator able to work effectively with engineers, Product Owners and Scrum Masters Good organisational skills, structured and reliable Fluency in English; German is a plus We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here. 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? At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. 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. For more information visit www.juliusbaer.com or contact us via the Contact Form. For recruiting agents, please see the additional information here.

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Responsibilities

Responsible for the end-to-end quality assurance and testing of AI and ML solutions throughout their lifecycle. This includes designing automation frameworks, integrating tests into CI/CD pipelines, and acting as the quality gatekeeper before production.