SigTuple builds intelligent screening solutions to aid diagnosis through AI-powered analysis of visual medical data. The flagship AI100 product is an in-vitro diagnostic device that automates manual microscopy using robotics and AI to digitize any biological sample on a glass slide for AI aided remote reporting and analysis.
Job Summary:
We are seeking a detail-oriented QA Engineer-II to join our team at SigTuple Technologies. The ideal candidate will be responsible for ensuring the quality and reliability of our software products through rigorous testing and validation process. You will work closely with development teams to identify and resolve issues, ensuring that our products meet the highest standards of quality.
Responsibilities:
- Review and analyze requirements, specifications, and technical design documents, providing timely feedback
- Develop detailed, comprehensive, and well-structured test plans and test cases
- Design, develop, and execute automated tests
- Test current products and identify deficiencies
- Identify and report issues found, then verify that issues are resolved
- Suggest solutions to identified product problems
- Investigate product quality to make improvements to achieve better customer satisfaction
- Collaborate with the Product Development team to ensure consistent project execution
- Identify key KPIs for product quality
- Identify quality assurance process bottleneck and suggest actions for improvement
- Plan, create and manage the overall Quality Planning strategy
- Collect quality data & perform regression testing
- Oversee continuous improvement projects
- Investigate the causes of non-conforming software and train users to implement solutions
- Track quality assurance metrics, like defect densities and open defect counts
- Stay up-to-date with current testing tools and test strategies
- Prepare and present reports and metrics to Senior Management
Desired skills:
- Proficient in manual and automated testing
- Experience in testing tools such as Selenium, JUnit, or TestNG
- Strong understanding of the software development life cycle (SDLC)
- Knowledge of programming languages such as Java, Python or JavaScript
- Solid knowledge of SQL and scripting
- Familiarity with Agile methodologies
- Excellent analytical and problem-solving skills
- Strong attention to details
- Good communication skills
Qualifications & Experience:
- Bachelor's degree in Computer Science or related field.
- 4-6 years of experience in software quality assurance
- Experience with automated testing frameworks and tools