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# Automation Test Engineer (Playwright, Java, GenAI)

- **Company:** ICONMA LLC
- **Location:** New York, NY, United States
- **Salary:** $33,114 - $96,574
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Information Technology Consulting, Databases, Data as a Services, Extract Transform Load (ETL), Reference Data, E2e Testing, Microsoft Copilot, Standard Sql, Selenium, Software Engineering, SQL Databases, TypeScript, Application Enhancement Tool, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Kubernetes, Information Technology, Low Latency, Playwright, Real Time Data
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/automation-test-engineer-playwright-java-genai-new-york-ny--f066a5d7-1592-4b41-aaee-63e028cf3a37

## About the Role

Software Engineering, Java, Test Automation, Java, Software Engineering, Test Automation, Information Technology Consulting, Capital Markets, Functional Testing, Benchmarking, * Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred.

 * Playwright/TypeScript,Selenium/Java
 * SQL
 * Gen AI (MCP, Copilot )
 * Years of Experience:
 * 11.00 Years of Experience

## Description

Our Client, an IT Services and Consultant company, is looking for an Automation Test Engineer (Playwright, Java, GenAI) for their NYC, NY location., * 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 Playwright/Typescript, Selenium/Java 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 Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity.
 * Demonstrate hands-on experience with GenAI and Agentic AI technologies, including designing, developing, testing, or supporting Retrieval-Augmented Generation (RAG) solutions, AI agents, Agentic AI frameworks, and intelligent automation workflows. Strong understanding of LLM-driven architectures, prompt engineering, orchestration frameworks, and practical implementation of AI-powered solutions is required.
 * Work with market data, pricing, reference data, index calculation, or similar financial applications.