Manual QA Engineer (Web, CRM)

Overview

This opportunity is shared on behalf of a partner employer, which will handle applications and all follow-up steps. The hiring company is seeking a Manual QA Engineer (Web, CRM) located in Germany.

You will join a fast-growing product team where quality is central to the user experience across customer-facing web products and internal business systems. In this role, you will help safeguard functionality, stability, and performance while also contributing early in the development process through collaboration with product and engineering teams. The environment emphasizes ownership, continuous improvement, and modern testing practices.

Key Responsibilities

• Review business and technical requirements and turn them into clear, complete test scenarios and test cases for new features.
• Carry out manual testing for web applications, internal CRM tools, email campaigns, and push notification flows.
• Run functional, regression, smoke, usability, and UI/UX checks to verify product behavior and consistency.
• Check API behavior with tools like Postman, Swagger, or similar solutions using both expected and edge-case scenarios.
• Use browser developer tools to inspect logs, network traffic, console issues, and application behavior.
• Log, classify, prioritize, and communicate defects with step-by-step reproduction details and supporting proof.
• Take part in sprint planning, quality reviews, and risk discussions throughout development.
• Work with cross-functional teams to improve testing workflows, documentation quality, and overall standards.
• Provide feedback that helps improve usability, reliability, and the end-user experience of the product.

Requirements

• At least 2 years of experience in manual QA for web-based products.
• Hands-on exposure to CRM systems, email marketing campaigns, and customer communication workflows.
• Solid understanding of SDLC, STLC, testing approaches, and test design methods.
• Practical experience with API testing tools such as Postman or equivalent platforms.
• Ability to write test cases, test plans, and detailed bug reports using Jira or another test management tool.
• Experience working with databases such as MongoDB, BigQuery, DataGrip, or similar tools.
• Basic familiarity with Git workflows, version control operations, and code review practices.
• Understanding of CI/CD principles and exposure to platforms such as GitLab.
• Experience with monitoring, logging, and debugging tools such as Grafana, Lens, Charles Proxy, or Fiddler.
• Strong analytical skills, careful attention to detail, and effective problem-solving ability.
• Good communication and teamwork skills for working across functions.
• Experience with test automation or automating repetitive QA tasks is an added advantage.

Benefits

• Flexible remote setup with adaptable working hours.
• 20 days of paid annual leave.
• 15 paid sick leave days per year.
• Extra paid leave for family-related occasions.
• Additional leave for public holidays.
• Full medical insurance coverage.
• Reimbursement for sports and wellness activities.
• Support for work equipment or compensation for personal tools.
• Financial and legal support programs.
• Access to team events, branded merchandise, and engagement initiatives.
• Support for professional growth, including course reimbursement and English language training.
• Individual Development Plans and performance-based growth opportunities.
• Participation in internal learning programs, book clubs, and professional communities.
• Opportunity to work with experienced specialists on large-scale consumer technology products.

Additional Information

The hiring process uses an AI-assisted matching approach to help review candidates quickly and fairly against the role’s key requirements. Applications that fit best are shared with the employer, while the final interview process and hiring decisions are handled directly by the company’s internal team.

Privacy Notice

By submitting an application, candidates acknowledge that their personal data may be processed to evaluate suitability for the role and shared with the hiring employer. This is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. Applicants may exercise rights such as access, correction, deletion, and objection at any time.

AI tools may be used to support parts of the recruitment workflow, such as application review, resume analysis, response assessment, and detection of inconsistencies or verification signals in submitted materials. These tools assist recruiters but do not replace human judgment, and final decisions are made by people.