Python QA Engineer Role

Company Description Daily Code Solutions delivers high-quality, production-ready technology solutions for organizations ranging from startups to global enterprises. The company specializes in AI/ML innovation, data science and business intelligence, software development, web scraping and automation, and web and mobile applications. Its teams also provide results-driven UI/UX design, ensuring that products are both technically robust and user-friendly. With over 150 successful projects and a 98% client satisfaction rate, Daily Code Solutions is recognized for turning complex ideas into scalable, reliable solutions across diverse industries.
Role Description This is a full-time remote role for a Python QA Engineer. The Python QA Engineer will design, develop, and maintain automated test scripts in Python to validate web and backend applications, APIs, and data pipelines. Day-to-day responsibilities include creating and executing test plans and test cases, performing manual and automated testing, identifying and documenting defects, and collaborating closely with developers and product teams to ensure software quality. The role also involves contributing to test frameworks, improving QA processes, and participating in code reviews related to test automation and quality standards.
Qualifications
Strong foundation in Quality Assurance and Software Testing, with experience applying QA methodologies in agile environments.
Hands-on skills in Test Execution and Test Cases, including designing test scenarios, maintaining test suites, and tracking results.
Practical experience with Manual Testing and exploratory testing to uncover edge cases and usability issues.
Proficient in Python for test automation (e.g., PyTest, unittest, or similar frameworks), including writing clean, maintainable test code.
Experience testing APIs, web services, and databases, with familiarity in tools such as Postman, REST clients, or SQL.
Comfortable working with CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins) and integrating automated tests into pipelines.
Strong analytical, documentation, and communication skills, with the ability to collaborate effectively in a remote, distributed team.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience; experience in data-driven or AI/ML products is a plus.

Work arrangement
Yes