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 CI/CD 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, Webdriver.io, Java, and Python
Hands-on experience with AI-assisted engineering platforms such as Cursor, Claude, Code, GitHub Copilot, Chat GPT, 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-driven approaches for test generation, automation, optimization, or quality analytics
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
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