QA Engineer

Wrisk is reinventing insurance for the digital era, providing a simple, transparent, and personal approach to insurance through a seamless platform that combines best-in-class customer experience, modern technology, and insurance expertise. We have developed differentiated insurance experiences for renowned automotive brands, including BMW, MINI, Volvo, Jaguar, Land Rover, Mercedes etc. in the UK. As we expand our platform's capabilities, we are looking for a talented QA Engineer to ensure our solutions are of the highest quality, meeting the needs of our users and partners across various markets.

As a QA Engineer at Wrisk, you will play a key role in ensuring the quality and reliability of our platform. You will work closely with cross-functional teams, including developers, product managers, and designers, to define and execute test strategies, troubleshoot issues, and ensure that we deliver high-quality solutions to our customers. This is an exciting opportunity to work in a fast-paced environment where innovation and quality are at the heart of what we do.

• 9+ years of experience as a QA Engineer, with expertise in both manual and automated testing.
• Proficiency in testing frameworks and tools (e.g. Cypress), along with experience in testing web applications, APIs, and mobile platforms.
• Hands-on experience in creating and maintaining automated test scripts, with knowledge of CI/CD pipelines (e.g, CircleCI).
• Hands-on experience on SQL queries.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex issues and work effectively in a fast-paced environment.
• Strong communication skills, with the ability to collaborate with both technical and non-technical team members.
• A keen eye for detail and a commitment to delivering high-quality, reliable software.
• Experience working in an Agile environment and contributing to continuous integration processes.

Nice to have

• Work experience in the insurance industry is a plus.
• ISTQB or similar certification in test automation.
• Experience with agile or kanban project management frameworks.
• Knowledge of Linux system administration, database administration, or other technical skills outside the test automation domain.
• Experience with cloud platforms, particularly AWS.
• Proficiency in programming or scripting languages like Shell Scripting, JavaScript, TypeScript, or Python.
• Familiarity with low-code or AI-based automation tools such as Autify, Testim, and Katalon Studio.