Automation Software Tester / Quality Assurance at IoT Startup (m/f/d)

We are looking for a new team member for our software testing and quality assurance team.

Location: Düsseldorf-Bilk

Start: by arrangement / immediately

Tasks:

• Arranging test environments to execute the test cases.
• Analyzing, writing and executing test cases, processes and scenarios.
• Conducting review meetings, preparing summary reports and communicating with the software team.
• Error tracking and bug reporting to developers and other team members.
• Performing thorough regression testing when bugs are resolved.
• Tracking quality assurance metrics, like defect densities and open defect counts.
• Good exposure to manual and automation testing.

Requirements:

• University degree in software engineering, IT or computer engineering.
• Experienced in QA processes, methodologies, standards and strategies.
• Proficient in automated testing framework (Cypress, TestNG, Robot Framework, Selenium etc.).
• Basic knowledge of any programming language (preferable JavaScript, also accepted Java, Python etc.).
• Handling of Jira for ticket management and Confluence for documentation.
• Ideally: Docker, Git, CI/CD, API Testing (Postman), Agile Scrum.

Benefits:

• A responsible position in a fast-growing and highly innovative start-up.
• An agile and diverse team with colleagues from all over the world.
• English speaking open work environment, with flat hierarchies and short decision-making paths.
• Dog-friendly office in a prime location with lots of shopping/restaurant options nearby.
• Advanced technology stack leveraging cutting-edge IoT hardware and software.
• Creative freedom for own ideas, projects and personal development.
• Team building, learning and start-up events.

Livello is building the future of autonomous retail and smart inventory management. We are developing a revolutionary IoT Platform and telemetric Smart Kiosks with state-of-the-art smart shelving and monitoring technology, leveraging the newest technologies and engineering principles, relying on concepts like automation, autoscaling, resilience, real-time monitoring, sensor fusion, computer vision, machine learning and deep analytics.