Job Title: Quality Assurance (QA) Engineer - Automation
Location: Remote (India)
Job Type: Full-Time
Experience: 2-5 years
Shift timings- 1pm-10pm
Job Summary:
We are seeking a detail-oriented and proactive Quality Assurance (QA) Engine
with expertise in automated testing to join our dynamic team. The QA Engineer will
be responsible for ensuring the quality and reliability of our products by designing,
developing, and executing automated test scripts. The ideal candidate will have a
strong background in software testing methodologies, automation frameworks.
Key Responsibilities:
- Design, develop, and execute automated test scripts using industry-standard
- tools and frameworks.
- Collaborate with cross-functional teams including developers, product managers, and designers to understand requirements and define test strategies.
- Perform thorough regression testing when bugs are resolved.
- Identify, document, and track bugs and performance issues.
- Integrate automated tests into the CI/CD pipeline to ensure continuous testing.
- Analyze test results and provide detailed reports with recommendations for
- improvement.
- Maintain and improve existing automation frameworks and scripts.
- Stay updated with emerging trends in test automation and QA best practices.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proficiency in programming languages such as Python, Java, JavaScript, or
- similar.
- Experience with automation tools and frameworks (e.g., Selenium, Cypress,
- JUnit, TestNG)
- Excellent problem-solving skills and attention to detail.
- Strong verbal and written communication skills.
About the Company:
Tennr reads documents from incoming faxes passing through healthcare practices and automates essentialΒ tasks like scheduling and qualifying patient visits. By automating that paperwork with Tennr, practicesΒ receive more patient referrals and reduce billing errors by 98%, significantly growing revenue.
Turn paperwork into your patient advantage
RaeLMβ’ is a proprietary vision language model trained on over 4mm medical documents, 230 million data fields, 8,000 page classifications, and 2 billion checkboxes β making it the highest-performing document reasoning model in healthcare.
β
Tennr is the automation platform that puts RaeLMβ’ to work for healthcare.
tennr.com
Funding:
Series B
US$ 37M