Quality Assurance Consultant (f/m/d) German speaker

Stellenbeschreibung

We are seeking a Quality Engineer Consultant to join our Quality Engineering team, bridging the gap between world-class Software Quality Assurance (SQA) and client-focused solutions and delivery. In this consultative role, you will act as a remote quality assurance expert on a day-to-day basis for many of our core clients, and internal product teams alike. Seamless collaboration is a cornerstone of this role and due to demand in the DACH region, the role requires bilingual professional fluency in both German and English to coordinate between customer stakeholders and supplier teams.

As a consultant, you will not only write robust, maintainable automated test suites, but also employ consultative approaches to understand client challenges, conduct technical discovery, and guide stakeholders through quality strategies. You will design, implement, and evolve testing frameworks while serving as a customer advocate and solutions technical advisor under minimal supervision. This role is built for a professional eager to deliver outstanding technical quality while expanding their advisory capabilities and accelerating growth towards a senior role.

What you'll be doing

Software Quality Engineering & Automation

• Test Automation Frameworks: Design, write, execute, and maintain robust automated test scripts using both Playwright (JavaScript) and Selenium across web applications, APIs, embedded software, and backend integrations.

• Quality Processes: Establish and continuously improve SQA processes, testing methodologies, and robust testing standards across cross-functional teams.

• Lifecycle Testing: Define modular testing strategies across the full software development lifecycle (SDLC), covering unit, integration, system, e2e, edge case, and release testing.

• CI/CD & DevOps: Integrate automated testing suites seamlessly into deployment pipelines and modern CI/CD and DevOps environments (primarily GitLab CI, GitLab, and Bitbucket).

• API Validation: Perform functional API testing and automate API contract verifications, utilizing tools like Postman and automated endpoints.

• Database Verification: Perform database testing and data state verifications using relational database structured queries (SQL) to guarantee system and data integrity.

• Defect Management: Isolate, replicate, and document software bugs in tracking systems, providing detailed logs, reproduction steps, and root cause analysis.

• Security & Standards: Ensure testing strategies align with industry quality standards, cybersecurity guidelines, and security testing principles (such as OWASP practices).

Consultative Client Advisory & Solutions Focus

• Technical Discovery: Conduct structured technical discovery sessions with prospective and existing customer stakeholders to extract business requirements and build technical trust.

• Technical Translation: Translate technical QA concepts and automation architectures into clear narratives for varied audiences, including client stakeholders.

• Collaboration: Collaborate with pre-sales and delivery teams to formulate clear Problem Statements and support pre-sales opportunities from a technical quality perspective.

• Solution Demonstrations: Prepare and deliver engaging technical demonstrations of automated test suites, QA reporting dashboards, and solutions to customer stakeholders.

• Opportunities Advancement: Represent QA delivery on stakeholder calls, answering client queries and helping to move opportunities forward under minimal supervision.

• Feedback Loops: Actively participate in customer retrospectives, gathering direct feedback to drive continuous improvement loops back to internal product and delivery teams.

AI-Powered Quality Assurance Acceleration

• AI Testing Efficiency: Explore and leverage AI-assisted tools and prompt engineering to accelerate everyday SQA tasks, including the generation, review, and optimization of automated test scripts.

• Collaborative Test Strategy: Utilise generative AI models to co-create robust Test Strategies with customer stakeholders, mapping out high-level quality approaches for complex product changes.

• Test Plan Translation: Employ AI code-generation and structured prompting to systematically convert broad Test Strategies into detailed, actionable Test Plans.

• Execution & Debugging: Apply AI capabilities to automate, execute, and monitor comprehensive Test Pack executions, rapidly analyzing failure logs and debugging code.

• Acceptance Criteria Verification: Use AI techniques to ingest, ratify, and verify Acceptance Test Criteria, ensuring technical tests match user stories and user perspectives.

• Quality Gates Governance: Integrate AI workflows to effectively manage Test Gates and Exit Criteria, delivering reliable quality sign-offs with speed and precision.

• Governance & Security: Proactively maintain and govern AI-assisted outputs, applying manual checks and security standards to prevent risks, hallucinated logic, or outdated scripting practices.