Quality Assurance Engineer (m/f/d)

Your career oportunity (from 15.09.2026) You combine strong, hands-on software testing skills with a practical understanding of AI-driven product features and modern AI-supported QA workflows? Also you like to ensure reliable releases across web and/or backend systems, while also contributing to quality strategies for AI-enabled functionality? Then this position might be the perfect fit for you! Your Mission You own our test strategy end-to-end —and you continuously improve it across both manual and automated testing as we grow. You design, execute, and maintain test cases that cover new features, regressions, and the “it’ll never happen” edge cases. You build reliable automated tests (E2E and API) and you keep them healthy in CI/CD —stable, meaningful, and easy to maintain. You partner closely with Product and Engineering to clarify requirements early, tighten acceptance criteria, and prevent defects before they ship. You define quality signals and metrics that create real release confidence —not just a gut feeling. You raise the bar for AI-feature quality where relevant, including: - You test robustness across varied inputs (ambiguous prompts, noisy data, unexpected user behavior). - You check safety, privacy, and unintended outputs in line with product requirements. Requirements Your Superpowers Your Superpowers You’ve worked in software testing / QA engineering in cross-functional teams and you know what great collaboration looks like. You’re strong in test design, exploratory testing, and defect investigation —you enjoy finding root causes, not just symptoms. You have solid hands-on experience with test automation (e.g., Playwright, Cypress, Selenium) and API testing (e.g., Postman, Bruno). You’re comfortable with CI/CD and version control (e.g., Git and GitHub/GitLab pipelines) and you treat testing as part of delivery. You understand modern software delivery practices like shift-left QA, code reviews, observability, and documentation—and you apply them pragm…

Publié 18 Aug 2026

Your career oportunity (from 15.09.2026) You combine strong, hands-on software testing skills with a practical understanding of AI-driven product features and modern AI-supported QA workflows? Also you like to ensure reliable releases across web and/or backend systems, while also contributing to quality strategies for AI-enabled functionality? Then this position might be the perfect fit for you! Your Mission You own our test strategy end-to-end —and you continuously improve it across both manual and automated testing as we grow. You design, execute, and maintain test cases that cover new features, regressions, and the “it’ll never happen” edge cases. You build reliable automated tests (E2E and API) and you keep them healthy in CI/CD —stable, meaningful, and easy to maintain. You partner closely with Product and Engineering to clarify requirements early, tighten acceptance criteria, and prevent defects before they ship. You define quality signals and metrics that create real release confidence —not just a gut feeling. You raise the bar for AI-feature quality where relevant, including: - You test robustness across varied inputs (ambiguous prompts, noisy data, unexpected user behavior). - You check safety, privacy, and unintended outputs in line with product requirements. Requirements Your Superpowers Your Superpowers You’ve worked in software testing / QA engineering in cross-functional teams and you know what great collaboration looks like. You’re strong in test design, exploratory testing, and defect investigation —you enjoy finding root causes, not just symptoms. You have solid hands-on experience with test automation (e.g., Playwright, Cypress, Selenium) and API testing (e.g., Postman, Bruno). You’re comfortable with CI/CD and version control (e.g., Git and GitHub/GitLab pipelines) and you treat testing as part of delivery. You understand modern software delivery practices like shift-left QA, code reviews, observability, and documentation—and you apply them pragm…

Publié 18 Aug 2026

Data Scientist (m/f/x) Location: EU (Remote) Who You’ll Work For : At Makersite, we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility—reducing environmental impact while optimizing performance. We're a fast-growing, innovative company that thrives on creativity, collaboration, and continuous learning. If you're passionate about technology, sustainability, and creating meaningful impact, we’d love to hear from you. Join us and be a part of shaping the future of manufacturing and product innovation. Who we're looking for: As part of our growing team, you will play a key role in shaping the future of sustainable product development. We’re looking for innovative, driven Data Scientists who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. In this role, you’ll have the opportunity to collaborate with talented professionals, contribute to cutting-edge projects, and help drive the digital transformation of industries worldwide. Ifyou're ready to make an impact and contribute to meaningful change, we want to hear from you! This role is a fixed, permanent position. All successful applicants will receive a permanent employment contract regardless of location. The role: Develop and Deploy Production-Grade AI Systems Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems Design Advanced AI Architectures Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases Build and orchestrate AI agents using framewor…

Publié 17 Aug 2026