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Das ist der Job
We are seeking a senior-level software-test professional whose strength lies in principled, context-driven testing.
Darum lohnt es sich
You will champion risk-based, exploratory testing and purposeful automation across UI and API layers, while leveraging our modern toolset to make informed decisions and keep our products reliable, secure, and performant.
Purpose of the Role Support product teams in delivering high-quality features and making informed decisions by: Leading risk-oriented testing initiatives. Document test strategies, findings, and lessons learned in Confluence for cross-team visibility. Optionally including AI red-team testing.
Experience with other AI-evaluation/red-team tools are also valuable. Collaboration & Influence Excellent communicator who builds trust across cross-functional teams and promotes a principle-first mindset.
Prior exposure to different contexts, roles, and multiple testing tools and automation frameworks (e.g., Playwright, AIO Tests, Promptfoo) is a benefit. #J-18808-Ljbffr Strong Python skills, hands‑on load‑ and performance‑testing, and experience evaluating AI outputs are central to the role.
Integrating exploratory methods with purposeful UI and API automation. Validating system performance under load and surfacing critical issues early. Main Tasks Test Design & Automation Identify high-value automation opportunities and implement them in Python, automating across both UI (e.g., Playwright) and API layers.
Build reusable test cases and test scenarios in AIO Tests. Load & Performance Testing Design, run, and analyze load- and performance-tests to validate scalability, responsiveness, and stability under realistic conditions. Risk-Based & Exploratory Testing Adjust test concepts as needed.
Create test cases and scenarios grounded in requirements, risk models, and user journeys. AI Evaluations Contribute to our AI-output scoring framework to measure correctness, relevance, and safety of generated content. Agile Collaboration & Delivery Partner with product and engineering during sprint planning, backlog grooming, and retrospectives.
Translate evolving specs into concrete acceptance criteria and automated checks written in Python. Metrics, Reporting & Governance Define and collect quality indicators; publish dashboards that surface test execution results, defect trends, coverage metrics, and AI-output risk scores.
Thought Leadership & Continuous Learning Stay current on generative‑AI breakthroughs, emerging testing techniques, and security trends. Share insights through short demos, concise documentation, and regular knowledge‑sharing sessions. Skills & Competencies University degree in IT—or any field with relevant work experience (career changers welcome).
Deep experience with risk analysis, exploratory testing, and automation. Python: strong skills for building robust, maintainable test frameworks and automated checks. Other programming languages are also acceptable with the willingness to learn Python.
UI and API test automation: hands‑on experience (e.g., Playwright for end‑to‑end UI testing plus API-level testing)—or a solid automation foundation and a willingness to learn our stack. Load and performance testing: proven experience designing, running, and interpreting tests of scalability and responsiveness.
AI evaluations: familiarity with systematic AI-output evaluation (e.g., Promptfoo, Langfuse) to evaluate agentic capabilities. Experience with Spec-Driven Development. Experience with AIO Tests for test management—or a similar tool. Comfortable using Confluence as a central knowledge hub. Nice to Have / Advantages Confidential computing.
Cloud / IaaS / Infrastructure-as-Code (IaC) validation. Dynamic Application Security Testing (DAST). Usability testing. Chaos engineering, fault‑injection, and resilience experiments. Agentic testing and generative‑AI tooling. SRE-adjacent activities (logging, monitoring, observability).
Adaptability Ability to switch between tools and languages with minimal ramp-up time. Proven track record of learning new technologies and languages quickly. Analytical Thinking Diagnose root causes, design repeatable processes, and communicate findings clearly to both technical and non-technical stakeholders.
Continuous Learning Keeps abreast of AI trends, testing innovations, and security developments; actively disseminates knowledge. Language Fluent in English; German or additional languages are a plus. 3–5 years in senior test engineering / SDET roles—ideally on AI-enabled, SaaS, or cloud-native products.
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