QA Automation Engineer (Gen AI experience) - W2 Only

About the role

Lead and mentor QA teams delivering quality engineering for large-scale, enterprise-grade applications, driving test strategy, execution, resource planning, and continuous quality improvements across multiple projects.

Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance. Work with market data, pricing, reference data, index calculation, or similar financial applications. Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred.

Responsibilities

• Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing.
• Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity.
• Demonstrate AI fluency by leveraging AI-powered tools and GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity.
• Understand index methodologies, benchmark indices, and capital markets data; validate index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms.
• Partner with cross-functional stakeholders to define QA strategy, implement Agile delivery practices, manage project risks and dependencies, and successfully deliver complex, large-scale initiatives with high quality and predictable outcomes.