EU remote
AI Quality Automation Engineer , DTG
About this role
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on.
So, if you're ready to seize the endless opportunities and leave your mark, come join us. As an AI Quality Automation Engineer on the Master Data Management (MDM) team, you will help drive data reliability by building intelligent, automated testing solutions for complex data pipelines. Working alongside data engineers, software developers, and enterprise QA teams, you will bridge data infrastructure and high-velocity software delivery.
Your mission is to contribute to scalable, AI-enabled test frameworks that ensure quality across enterprise data assets, while acting as a steward of the QA process and platform. You will bring a fresh point of view on how AI can transform Quality Engineering, exploring agentic development and automation to improve how we test, develop, and deliver software. WHAT YOU'LL DO Be a Steward of the QA Process & Platform: Help evolve the QA process, automation platform, and quality practices across MDM, ensuring testing is embedded throughout the development lifecycle.
Build AI-Powered Quality Frameworks: Develop and execute automated test suites and AI-enabled evaluation frameworks to detect data anomalies early, validate pipeline logic, and reduce manual quality overhead across enterprise data infrastructure. Expand the E2E AI Testing Platform: Contribute to and improve our end-to-end testing platform, using generative AI and emerging AI capabilities to increase test coverage and accelerate delivery for core MDM applications.
Explore Agentic Development Automation: Experiment with AI agents and agentic development workflows to automate parts of testing, test creation, validation, troubleshooting, and the broader software development lifecycle. Bring a New AI Perspective to QA: Identify and experiment with practical ways AI can improve Quality Engineering. Bring curiosity, ideas, and an enthusiasm for AI rather than simply applying traditional testing approaches.