This is a remote position.
This role supports product quality, platform stability, and release confidence by validating functionality, integrations, performance, usability, and system reliability across environments and devices. The QA Engineer collaborates closely with engineering and product teams to improve testing coverage, streamline automation, and support scalable delivery processes.
- Manual Testing: Execute manual test cases for web and mobile applications to identify bugs, usability issues, and inconsistencies.
- Validate functionality, user flows, integrations, and system behavior across different environments and devices while ensuring compliance with business and technical requirements.
- Automated Testing: Design, develop, and execute automated test scripts using industry-standard tools and frameworks.
- Testing Strategy: Implement automation strategies and frameworks to improve testing efficiency and test coverage.
- Integration: Collaborate with development teams and integrate automated tests into the CI/CD pipeline.
- Document progress and issues.
- Performance Testing: Conduct performance and load testing to evaluate system scalability and robustness.
- Troubleshooting: Identify, analyze, and resolve complex issues in both automated and manual testing environments.
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field preferred
Experience:
2+ years of experience in software testing with strong focus on automated testing
Experience testing both web and mobile applications (iOS and Android)
Experience with manual and automated testing methodologies
Licenses:
ISTQB certification preferred
Technical Skills:
Knowledge of manual testing methodologies and QA best practices
Hands-on experience with API testing tools such as Postman
Experience with automated testing tools such as Cypress, Playwright, or Detox
Familiarity with CI/CD pipelines and automated deployment workflows
Basic understanding of React, Node.js, or mobile development frameworks
Experience documenting defects, test cases, and reporting results
Ability to perform data manipulation and analysis using spreadsheets or AI-assisted tools
Familiarity with Docker, Kubernetes, AWS, or cloud-based testing environments preferred
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