Quality Engineer

The Digital & Data Experience (DDX) business unit simplifies fleet management through intelligent, cloud-native solutions. Our SaaS platform enables customers to manage their assets through automation, security, and AI-driven insights. In this role, you will contribute across the full application development lifecycle while helping build and maintain our data intelligence platform. Working closely with engineering teams, you will develop automated testing solutions, support mission-critical processing services, and help ensure our platform is secure, reliable, and scalable through modern engineering and quality practices. • Work across the full application development lifecycle, designing, developing, testing, operating, and maintaining mission-critical processing services with a focus on security, compliance, and interoperability. • Create and maintain test automation for our data intelligence platform, verifying applications across unit, integration, and end-to-end testing layers. • Collaborate with peers and stakeholders to identify requirements and take solutions from initial design through production. • Contribute to engineering best practices, including code reviews, documentation, continuous integration, and continuous deployment. • Experiment with new technologies, platform ecosystems, and AI-assisted approaches to improve automation, platform capabilities, and engineering efficiency. • Work with engineering teams to improve application quality, reliability, and testing practices across the DDX business unit. • Share testing expertise and quality engineering best practices to support continuous improvement across the team. • We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

• Experience designing, implementing, testing, and operating software applications or platform components. • Proficiency in Python, Java, Go, or another modern programming language, with an interest in learning new technologies. • Experience with cloud platforms such as AWS, Azure, or Google Cloud, including Kubernetes. • Experience working with SQL and NoSQL databases, data structures, algorithms, and modern software engineering practices. • Experience building and maintaining automated tests across unit, integration, and end-to-end testing layers. • Familiarity with AI-assisted QA automation and cloud networking concepts. • Strong collaboration, communication, and problem-solving skills, with the ability to work effectively in a team environment.