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Makersite is an award-winning data software company that empowers teams to manage product sustainability, cost, and compliance; simultaneously, from a web browser. Our mission is to help manufacturing companies make better decisions and create safer, more sustainable products through data-driven analysis. We believe that technology can help corporations to have a more positive impact on their environment. That is why we developed a platform that uses cutting edge technology, big data, and breakthrough algorithms to deliver product intelligence unlike anything on the market.
For manufacturing companies with complex supply chains that want to accelerate product development, build resilience or reduce costs, Makersite is a disruptive digital twin platform that uses AI to connect and enrich cross-departmental data into live models for analysis, collaboration and decision support. Digital twins can be used to understand how externalities like regulations, supply shortages etc. affect a business and help teams evaluate scenarios taking into account multiple criteria like costs, environment, compliance etc. at the same time.
For manufacturing companies with complex supply chains that want to accelerate product development, build resilience, or reduce costs, Makersite is a disruptive digital twin platform that uses AI to connect and enrich cross-departmental data into live models for analysis, collaboration, and decision support. Digital twins can be used to understand how external factors like environmental and health regulations, supply shortages, etc. affect a business and help teams evaluate scenarios considering multiple criteria like costs, environment, compliance, etc. simultaneously.
Makersite is seeking a highly skilled Senior QA Engineer with expertise in automation to join our dynamic team. The ideal candidate will play a crucial role in ensuring the quality and reliability of our software, with a focus on automation testing methodologies. This hire will need to have experience in Python-based coding or similar architectures, along with a strong background in the B2B SaaS space. Working with Cypress, TypeScript and other complex data systems is vital.