We are hiring a Senior QA Engineer to support a healthcare insurance technology initiative. The project helps companies manage customer applications for underwriting, enrollment, eligibility, and policy-related workflows.

In this role, you will combine hands-on quality assurance with AI-driven test automation. You will work closely with developers and senior engineering leaders to ensure the application works correctly, validate complex business processes, and integrate AI testing tools into the team’s delivery workflow.

You should be self-sufficient, analytical, and comfortable testing different parts of an application — user interface (UI), APIs, data, and system integrations. You do not need experience with a specific testing tool; we will onboard you to the team’s existing AI-driven test suite.

What You Will Do

• Analyze business requirements and technical specifications to create effective testing strategies
• Create, maintain, and run test cases for functional, regression, integration, and end-to-end scenarios
• Test application behavior across UI, API, data, and system integration layers
• Design test scenarios for complex workflows (enrollment, eligibility, underwriting, and data exchanges)
• Identify, document, track, and verify bugs in collaboration with developers and stakeholders
• Support API testing, data validation, and integration testing across connected enterprise systems
• Learn and use the team’s AI-driven test suite in day-to-day testing
• Use AI-assisted testing practices to improve test design, coverage, and defect analysis
• Set up and maintain automated regression testing in CI/CD pipelines
• Collaborate with developers to ensure quality throughout the software development lifecycle
• Document test results, bugs, risks, and quality status clearly

What You Need to Know

• Professional experience in software QA or quality engineering (preferably at a senior level)
• Demonstrated ability to work independently with limited supervision
• Strong experience in test planning, test case design, execution, and bug management
• Experience testing web applications, REST APIs, and system integrations
• Understanding of functional, regression, integration, and end-to-end testing methods
• Familiarity with test automation frameworks and automated regression suites
• Experience validating data and working with SQL or relational databases
• Familiarity with Agile delivery, Git (version control), and CI/CD concepts
• Practical experience using AI tools responsibly in QA activities
• Strong analytical, communication, and collaboration skills
• Advanced English skills for both spoken and written communication. 

Preferred Qualifications

• Experience with AI-driven testing tools or AI-assisted test generation
• Experience validating complex, data-intensive enterprise applications
• Exposure to Salesforce, MuleSoft, IBM enterprise systems, or similar integration platforms
• Experience in healthcare, insurance, enrollment, eligibility, or policy administration
• Experience with automated testing in CI/CD pipelines and continuous quality practices

What Success Looks Like

• Establishing reliable test coverage for critical application workflows and integrations
• Identifying defects and risks early in the development lifecycle
• Successfully learning and using the team’s AI-driven test suite in daily work
• Improving regression testing efficiency and consistency
• Providing clear visibility into application quality and readiness for release
• Working effectively with developers and senior engineers to deliver stable, high-quality software
  
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