QA Test Automation Engineer

Position Overview: We are seeking a highly experienced AI enabled QA Test Automation Engineer to lead quality engineering efforts for the Client Growth Retention CGR portfolio Key Responsibilities: Quality Strategy Delivery: Lead quality planning test strategy and validation activities for complex business initiatives Ensure comprehensive test coverage across functional integration regression and end to end testing efforts Define quality metrics monitor release readiness and proactively identify delivery risks Champion continuous improvement and best practices within the Quality Engineering organization Automation Modernization: Design and maintain scalable test automation solutions that support enterprise application delivery Drive automation adoption across functional API and integration testing layers Leverage AI powered tools and engineering practices to enhance test design execution analysis and maintenance Evaluate emerging technologies and recommend innovative approaches to improve quality outcomes Integration Data Validation: Validate complex interactions across multiple applications services and business processes Perform API database and end to end integration testing to ensure data accuracy and system reliability Support operational and business driven testing requests that require coordination across multiple teams and platforms Agile Stakeholder Collaboration: Collaborate with product business architecture and development teams throughout the delivery lifecycle Participate in Agile ceremonies and contribute to planning estimation risk assessment and release activities Communicate testing progress risks and recommendations to technical and business stakeholders Serve as a trusted quality advisor for project and operational initiatives Continuous Delivery Governance: Support automated quality controls within CICD pipelines Manage testing activities defects and quality reporting using enterprise test management tools Ensure compliance with established quality standards and governance processes Required Qualifications: Bachelor's degree in Computer Science Engineering Information Systems or a related discipline 7 years of experience in Software Quality Assurance Test Automation or Quality Engineering Demonstrated experience leading testing efforts for complex enterprise applications Strong expertise in test automation frameworks API testing data validation and system integration testing Hands on experience with modern automation technologies including Selenium Playwright Web driver IO Java and Python Hands on experience with AI assisted engineering platforms such as Cursor Claude Code GitHub Copilot Chat GPT Enterprise or similar technologies Experience working within Agile and DevOps delivery environments Strong analytical troubleshooting and problem-solving skills Excellent communication and stakeholder management capabilities Practical experience applying AI enabled tools and techniques within software testing or software engineering processes Preferred Qualifications: Experience in the Insurance or Financial Services industry Knowledge of cloud native architecture APIs and microservices based systems ISTQB Agile Testing or related industry certifications Experience implementing AI driven approaches for test generation automation optimization or quality analytics What Success Looks Like: The successful candidate will: Lead the adoption of AI first Quality Engineering in the project Expand automation coverage while reducing manual testing effort and release risk Ensure reliable validation of business-critical integrations and operational changes Influence quality strategy across cross functional teams Improve delivery predictability product quality and stakeholder confidence