Quality Assurance Engineer

Job Title: QA Automation Engineer (Python & AI / GenAI) Long Term Contract Atlanta, GA Interview Mode: In-Person / Face-to-Face (F2F) Experience Level: 4–8 Years Role Overview Looking for an experienced QA Automation Engineer proficient in Python and modern AI/GenAI-assisted testing tools to design, develop, and execute automated test suites for enterprise financial platforms.

The candidate must be ready for an immediate Face-to-Face technical interview.

Key Responsibilities

• Design, build, and maintain robust test automation frameworks using Python (PyTest, Robot, or Selenium/Playwright).
• Implement AI/GenAI tools and workflows for test case generation, synthetic test data creation, regression risk analysis, and automated failure triage.
• Perform end-to-end automation covering Backend / REST APIs , UI, and database layer validations.
• Write and optimize complex SQL queries to validate financial data feeds and database integrity.
• Integrate automated regression suites into CI/CD pipelines (Jenkins, Git, TeamCity).
• Collaborate with Scrum teams, developers, and product owners in high-frequency Agile delivery cycles.
• Primary Requirements & Skills Core Automation: 4+ years of hands-on test automation experience using Python .

Frameworks & Tools

PyTest, Requests, Selenium / Playwright, Postman / REST Assured.

AI / Smart QA

Practical experience using AI/LLM tools (e.g., GitHub Copilot, custom LLM prompts, LangChain/agentic workflows) for automating testing tasks or testing AI-enabled microservices.

Backend / Database

Strong SQL knowledge for data comparison and ETL/database testing.

DevOps & Source Control

Git/Bitbucket, Jenkins/TeamCity, Linux/Unix basic shell commands.

Domain (Advantageous)

Exposure to Banking, Capital Markets, Wealth Management, or Trading platforms.