Sr. Quality Engineer

Cognizant; Chennai District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Cognizant in Chennai is seeking a senior QA leader to drive testing and quality assurance for an AI-driven DLC PoC, validating AI-assisted requirements, test case generation, code generation, and automation across the software lifecycle. You will collaborate with business stakeholders, development teams, QA, architects, and AI/ML groups.

The ideal candidate has 6–10 years in quality engineering, strong Python automation, Playwright/Selenium, and Azure/GitHub Copilot experience; healthcare domain

Qualifications

• 6–10 years hands-on experience in quality engineering with automation for web/API apps.
• Proficient in Python for automation, utilities, and test scripts with emphasis on readability and reuse.
• Experience leading AI GenAI testing initiatives and AI-assisted validation.

Responsibilities

• Lead the testing and quality assurance workstream for an AI-driven DLC PoC, ensuring quality across the SDLC.
• Drive end-to-end validation of AI-assisted requirements, test case generation, code generation, and test automation; manage defects and risk.

Skills

Functional Testing

Automation Testing

API Testing

Test Strategy

Test Management

Quality Governance

AI GenAI Testing Initiatives

AI-assisted Code Validation

Education

Bachelor's degree in computer science or related field with a focus on software quality/test engineering

Tools

Playwright

Selenium

CI/CD

GitHub Copilot

Azure

OpenAI / Azure OpenAI

Job description

Job Summary

Lead the testing and quality assurance workstream for an AIDriven Development Lifecycle DLC Proof of Concept POC ensuring the quality reliability and effectiveness of AI powered capabilities across the software development lifecycle Drive end to end validation of AI assisted requirements analysis test case generation code generation test automation defect prediction and quality engineering processes Collaborate with business stakeholders development teams QA teams architects and

Responsibilities

Primary Skills

Strong experience in Software Testing and Quality Engineering including Functional Testing Automation Testing API Testing Test Strategy Test Management and Quality Governance.

Proven experience leading AI GenAI Testing Initiatives including AI-generated Test Case Validation AI-assisted Code and Requirement Validation Prompt Testing Model Output Verification Test Coverage Assessment and AI Outcome Quality Measurement.

Strong Test Management and Governance skills including test strategy development stakeholder management defect governance risk management readiness reporting KPI tracking and cross-functional coordination with Development QA Product and AI/ML teams.

Secondary Skills

Experience with GenAI-enabled Software Development Lifecycle (SDLC) solutions AI testing frameworks and prompt engineering.

Knowledge of Playwright Selenium API Testing CI/CD DevOps GitHub Copilot Azure OpenAI and AI-assisted development tools.

Experience with Python automation framework design test orchestration and quality engineering practices.

Understanding of LLM validation AI model evaluation AI governance and responsible AI practices.

Healthcare payer/provider domain experience preferred.

Qualifications

• possess a bachelors degree or equivalent practical experience in computer science information technology or a related field with a focus on software quality or test engineering disciplines.
• bring six to ten years of hands on experience in quality engineering with a strong emphasis on designing automation solutions for web and API applications.
• demonstrate strong proficiency in Python for building automation frameworks utilities and test scripts that emphasize readability scalability and reuse.
• show practical experience in using Playwright for browser based automation including handling complex user interactions authentication flows and cross browser validations.
• exhibit solid experience with Azure services such as pipelines app services or related components used for deploying and testing cloud native solutions.
• apply working knowledge of GitHub and GitHub Copilot to manage repositories code reviews and AI assisted coding workflows while adhering to organizational quality standards.
• preferably offer domain exposure to pharmacy claims or broader healthcare systems enabling better understanding of industry regulations data sensitivity and transactional accuracy needs.
• display proven ability to operate effectively in a hybrid work model and day shift environment while collaborating with distributed teams using remote friendly communication practices.
• illustrate strength in defect analysis root cause identification and communication skills that enable constructive collaboration with engineering partners and stakeholders.