QA Engineer

Job description

About InCycling Every year €26 billion worth of perfectly usable chemical raw materials are getting destroyed, generating millions of tonnes of avoidable CO₂ emissions and hazardous waste, not because they lack value, but because no system exists to capture it. InCycling is changing that. We are building a cloud-native AI-driven B2B platform with deep SAP integration, automated regulatory compliance workflows, and ML-based supply-vs-demand matching for scalable surplus chemical management. We are live with a couple of global DAX-tier enterprise pilot across 10+ production sites in 10+ countries and 3 continents with over 600 tonnes of surplus chemicals already in our deal pipeline. You would be joining at the moment where the foundation you build will define how the platform scales. Tasks The role You'll be a second pair of eyes across our software delivery lifecycle, working alongside engineers to build quality in from requirements through release rather than checking it at the end. We're evolving from a continuous-delivery setup with strong automated coverage toward more deliberate quality practices, and you'll help shape what that looks like — including how we make good use of AI in our own engineering and testing work. Over time you'll grow into building automated integration testing across our key seams: platform ↔ ML, platform ↔ SAP, and external seller integrations. A meaningful part of the role supports our regulatory-compliance work: producing the documented, auditable evidence that shows our ML-based compliance solution does what we claim it does. What you'll do Partner with engineers to build quality into deliverables across the SDLC — requirements, design, code, and release Plan, execute, and document tests across features and integrations Analyze test coverage and identify gaps, balancing automated and manual approaches Ensure defects are triaged, tracked, and resolved, and that quality risks are surfaced early Maintain traceability between requirements and testing as our practices mature Build up automated integration test coverage over time (platform ↔ ML, platform ↔ SAP) Produce structured evidence to support our regulatory and compliance objectives Help evolve our quality practices, with a focus on integrating AI into how we engineer and test Requirements Solid grounding in software QA fundamentals — test planning and execution, coverage an…