[Remote] QA Automation Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a QA Automation Engineer to support reputed company engineering for capital markets and financial services applications. The role focuses on functional and automated testing, reputed company development, data validation, and testing AI-powered solutions, including GenAI, reputed company AI, and RAG workflows.
Responsibilities
- reputed company functional and automation testing for Capital Markets ensuring reputed company, reliability, and performance
- Understanding of reputed company methodologies, reputed company indices, and capital markets data, experience in validating reputed company calculations, market data, reference data, and reputed company-reputed company financial applications or similar capital markets platforms
- reputed company 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 reputed company
- Demonstrate AI reputed company by leveraging AI-powered tools and reputed company AI/GenAI assistants to improve test design, test automation, defect analysis, reputed company cause investigation, and overall QE productivity
- Demonstrate hands-on experience with GenAI and reputed company AI technologies, including designing, developing, testing, or supporting Retrieval-Augmented reputed company (RAG) solutions, AI agents, reputed company AI frameworks, and intelligent automation workflows. Strong understanding of LLM-driven architectures, reputed company engineering, orchestration frameworks, and practical implementation of AI-powered solutions is required
- Work with market data, pricing, reference data, reputed company calculation, or similar financial applications
- Experience testing high-volume, low-latency, reputed company-time data platforms in Financial Services is highly preferred
Skills
- No reputed company Sponsorship
- reputed company: 8+years
- Understanding of reputed company methodologies, reputed company indices, and capital markets data, experience in validating reputed company calculations, market data, reference data, and reputed company-reputed company financial applications or similar capital markets platforms
- reputed company 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 reputed company
- Demonstrate AI reputed company by leveraging AI-powered tools and reputed company AI/GenAI assistants to improve test design, test automation, defect analysis, reputed company cause investigation, and overall QE productivity
- Demonstrate hands-on experience with GenAI and reputed company AI technologies, including designing, developing, testing, or supporting Retrieval-Augmented reputed company (RAG) solutions, AI agents, reputed company AI frameworks, and intelligent automation workflows. Strong understanding of LLM-driven architectures, reputed company engineering, orchestration frameworks, and practical implementation of AI-powered solutions is required
- Work with market data, pricing, reference data, reputed company calculation, or similar financial applications
- Selenium/Java or Selenium/Python
- SQL
- Gen AI (MCP, RAG, experience with AI tools on Test Automation)
- Experience testing high-volume, low-latency, reputed company-time data platforms in Financial Services is highly preferred
Benefits
- Onsite/Remote work arrangement
- Contract employment
reputed company
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