Note: The job is a remote job and is open to candidates in USA. Themesoft Inc. is seeking a QA Automation Engineer to support quality engineering for capital markets and financial services applications. The role focuses on functional and automated testing, framework development, data validation, and testing AI-powered solutions, including GenAI, Agentic AI, and RAG workflows.
Responsibilities
- 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 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
- Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred
Skills
- No Visa Sponsorship
- Exp: 8+years
- 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 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
- Selenium/Java or Selenium/Python
- SQL
- Gen AI (MCP, RAG, experience with AI tools on Test Automation)
- Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred
Benefits
- Onsite/Remote work arrangement
- Contract employment
Company Overview