QA Engineer

Job Title: QA Automation Engineer (Python & AI / GenAI)

Hiring Mode: Full-Time / Contract

Interview Mode: In-Person / Face-to-Face (F2F)

Need only on W2

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.