Join CI&T as a Senior QA Engineer and help deliver reliable technology for a healthcare insurance initiative. You’ll support workflows for applications, underwriting, enrollment, eligibility, and policy administration, combining hands-on quality assurance with AI-assisted test automation. You’ll collaborate with developers and senior engineering leaders to validate complex business processes and strengthen quality across the delivery lifecycle.
Responsibilities
- Analyze business and technical requirements to shape test strategies
- Create, maintain, and execute functional, regression, integration, and end-to-end test cases
- Test application behavior across user interfaces, APIs, data, and system integrations
- Design scenarios for complex enrollment, eligibility, underwriting, and data-exchange workflows
- Document, track, and verify defects with developers and stakeholders
- Support API, data-validation, and integration testing across connected enterprise systems
- Learn and use the team’s AI-driven test suite and apply AI-assisted practices to test design, coverage, and defect analysis
- Set up and maintain automated regression tests in CI/CD pipelines
- Communicate test results, risks, bugs, and quality status clearly
Required qualifications
- Professional experience in software QA or quality engineering, preferably at a senior level
- Ability to work independently with limited supervision
- Strong skills in test planning, test-case design, execution, and defect management
- Experience testing web applications, REST APIs, and system integrations
- Understanding of functional, regression, integration, and end-to-end testing
- Familiarity with test automation frameworks and automated regression suites
- Experience validating data and working with SQL or relational databases
- Familiarity with Agile delivery, Git, and CI/CD concepts
- Practical experience using AI tools responsibly in QA work
- Strong analytical, communication, and collaboration skills
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 to expect
You’ll help establish dependable test coverage for critical workflows and integrations, identify defects and risks early, and improve the efficiency and consistency of regression testing. You’ll also learn the team’s AI-driven test suite and work closely with developers and senior engineers to provide clear insight into quality and release readiness.