Performance Test Engineer

Cognizant is a leading company in healthcare solutions, and they are seeking a Performance Test Engineer to ensure the scalability, reliability, and performance of healthcare payer platforms. The role involves analyzing performance requirements, developing test scenarios, executing performance tests, and collaborating with stakeholders to deliver high-performing solutions during modernization and cloud migration initiatives.

Responsibilities:

• Analyze performance requirements and design performance test scenarios for Facets UI, batch processing, and integration workflows
• Develop and execute performance test scripts aligned with approved test strategies and test plans
• Conduct performance testing for in-scope functional, batch, and interface requirements
• Coordinate with project stakeholders through internal and customer review meetings to communicate testing progress and outcomes
• Lead defect triage discussions with development and business teams to drive timely resolution
• Publish regular performance test status reports, test summaries, defect metrics, and test sign-off documentation
• Support healthcare platform modernization initiatives, including cloud migrations and large-scale data processing validation

Requirements:

• 4–6 years of experience in automation and performance testing
• 2–4+ years of experience working in healthcare payer systems
• 3–5+ years of hands-on performance testing experience with TriZetto Facets applications
• Strong experience testing UI, batch processing, and system integrations
• Experience participating in defect triage, reporting, and cross-team collaboration
• Solid understanding of healthcare business workflows and system performance expectations
• Experience supporting cloud migration or platform modernization programs
• Knowledge of healthcare data volumes, batch processing windows, and performance constraints
• Strong communication skills with the ability to clearly present testing progress and results
• A proactive approach to identifying performance risks and optimization opportunities