QA Automation Engineer (Gen AI experience) - W2 Only

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.
- Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms
- 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.
- 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
- 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.