Quality Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

Primary Responsibilities:

• Manual Testing – for business transformation roles, data pipeline testing, data equivalency, data loads, performance loads
• AI Driven Quality Engineering
  • Utilize AI/ML models for test case prioritization, risk based testing, and predictive defect analysis
  • Implement self healing automation using AI to reduce script failures and improve stability
  • Apply AI tools for intelligent test execution, optimization, and anomaly detection
• Healthcare Domain-Specific Testing
  • Validate workflows, rules, and data accuracy across healthcare businesses such as MA, ACA, Medicaid, Claims, Provider, Eligibility, and Clinical Data
  • Ensure strict compliance with HIPAA, PHI handling standards, and healthcare regulatory requirements
  • Verify healthcare coding structures (ICD, CPT, HCPCS), benefit rules, member/provider data integrity, and interoperability (FHIR, HL7) where applicable
  • Partner with product owners to interpret healthcare business logic, coverage rules, and quality metrics accurately
• Test Data Engineering & AI Generated Data
  • Generate synthetic test data using AI while ensuring HIPAA compliant anonymization
  • Automate creation of test datasets to simulate real world healthcare scenarios (claims processing, enrollment updates, authorization workflows, etc.)
  • Validate large-scale healthcare datasets for accuracy, consistency, and business rule adherence
• Quality Monitoring & Production Intelligence
  • Implement monitoring solutions leveraging AI to detect unusual trends in application performance or healthcare data processing
  • Analyze logs, claims patterns, or workflow failures to identify systemic issues impacting member or provider experience
• Collaboration Across Engineering & Healthcare Operations
  • Work closely with engineering, data, product, and clinical/business teams to ensure solutions meet functional and regulatory expectations
  • Provide insights based on test analytics to improve healthcare product quality and process efficiency
• Documentation & Reporting
  • Maintain thorough documentation for frameworks, test cases, automation processes, and healthcare validation rules
  • Build intelligent dashboards showcasing test coverage, defect trends, automation ROI, and healthcare-specific quality KPIs
• Continuous Improvement & Innovation
  • Evaluate emerging AI, automation, and healthcare QA tools to increase test effectiveness and reduce manual effort
  • Drive innovation initiatives to modernize quality engineering, especially in healthcare workflows, data pipelines, and compliance validation
• Automated Testing Framework & Script Development – Good to have
  • Design, build, and maintain automated test frameworks for UI, API, data, and workflow validation
  • Develop scalable and reusable test scripts using tools such as Selenium, Cypress, Playwright, Katalon, or similar
  • Integrate automation into CI/CD pipelines to support continuous testing and rapid releases
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• Technical Qualifications:
  • 3+ years of QA Automation experience with strong hands on skills in Selenium, Cypress, Playwright, Katalon, or similar tools
  • Experience designing and maintaining automation frameworks (Hybrid, BDD, Data Driven, POM)
  • Hands-on experience with CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, GitLab)
  • Proficiency in programming/scripting languages such as Python, Java, JavaScript, or C#
  • Working knowledge of cloud environments (Azure, AWS, or GCP), especially for test automation and environment validation
  • Solid knowledge of API testing using Postman, RestAssured, Karate, or similar
  • Solid understanding of AI/ML concepts applied to testing-test optimization, risk prediction, self healing automation, or synthetic data generation
• Healthcare Domain Qualifications
  • Experience with healthcare coding standards such as ICD 10, CPT, HCPCS, and benefit rules
  • Exposure to FHIR, HL7, interoperability standards, and healthcare data validation practices
  • Familiarity with healthcare payer ecosystems: MA (Medicare Advantage), Medicaid, ACA, Commercial lines
  • Understanding of claims workflows including adjudication, pricing, EOB/EOP, and encounter processing
  • Knowledge of provider, member, eligibility, and enrollment data
  • Working knowledge of HIPAA, PHI privacy, and compliance guidelines
• AI & Data Qualifications
  • Ability to apply AI/ML for:
  • Predictive test selection
  • Anomaly detection
  • Intelligent defect analysis
  • Synthetic test data generation
  • Understanding of data pipelines, ETL validation, and large-scale healthcare datasets
• Quality Engineering & Soft Skills
  • Experience collaborating with cross functional teams including developers, architects, product owners, and healthcare operations
  • Excellent understanding of QA processes, SDLC, and Agile/Scrum methodologies
  • Proven ability to write strong test plans, test cases, and automation scripts with minimal guidance
  • Proven solid analytical and problem solving skills, especially in identifying gaps and optimizing test coverage
  • Proven solid communication skills, especially when interpreting complex healthcare business rules

Preferred Qualifications:

• Certifications such as:
  • ISTQB
  • Certified SDET
  • AI/ML Foundations
  • Azure or AWS Cloud Practitioner
  • Healthcare certifications (AHIP, CPC, CPMA)
• Experience in enterprise modernization or cloud migration projects
• Experience with performance testing (JMeter, k6, LoadRunner) 
• Exposure to DevOps, monitoring, and observability tools (Splunk, Dynatrace, App Insights)
• Experience with AI based automation tools (e.g., Testim, Mabl, Functionize, Appvance IQ)
• Experience with Python AI libraries (NumPy, Pandas, scikit learn, TensorFlow, etc.)

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.