QA Engineer

Kendago is a global leader in Direct-to-Consumer (D2C) digital marketing and advertising. We provide brands with a comprehensive suite of services, including proprietary AdTech-backed PPC, creative production, digital marketing expertise, and data-backed CRO optimization. We help our clients grow into world leaders by combining our unique approach to PPC with a focus on brand development, funnel optimization, and ad creativity.

As a Manual QA Engineer, you will play a critical role in the quality assurance of our web-based data application. Your primary responsibility will be to test features, identify and document issues, and ensure the application’s functionality and performance align with product requirements. You’ll collaborate closely with developers, product managers, and other stakeholders to deliver a smooth, error-free user experience.

Requirements:

• At least 3–4 years of experience as a manual QA tester.
• Extensive knowledge of manual testing methodologies and techniques.
• Experience in web application testing and understanding of web technologies.
• Experience with SQL and relational databases (e.g., MySQL).
• Familiarity with testing frameworks and tools.
• Solid understanding of the Software Development Life Cycle (SDLC).
• Attention to detail and strong analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Proven experience working on complex systems with multiple data sources that require verification of calculations, including handling edge cases. The candidate should be comfortable working with highly dynamic systems and data that change hourly, leading to various scenarios requiring adaptability and precision.
  
  

• Design, develop, and execute detailed test cases and scenarios for web-based data applications based on product requirements and design documents.
• Conduct manual testing, including functional, regression, integration, and UI testing.
• Identify, document, and work closely with developers to resolve issues.
• Validate data integrity and consistency across the application, ensuring accuracy in data processing, visualization, and reporting features.
• Create and maintain test plans and test data.
• Conduct exploratory testing to uncover potential issues and ensure high-quality product releases.