Senior QA Automation Engineer

Job Summary

The Senior QA Automation Engineer will develop and maintain automated tests for AI-driven fintech applications, ensuring quality and correctness of data and model behavior.

Responsibilities

• Analyze and clarify requirements with engineers or project managers
• Develop and maintain automated test suites for AI-driven applications
• Design tests to validate real-time trading logic
• Automate performance and stress testing for model inference under various market scenarios
• Validate quality and correctness of input data pipelines including market data, sentiment signals, and behavioral metrics
• Collaborate with ML engineers to verify input/output integrity of machine learning models
• Work closely with AI/ML developers, data scientists, and product managers to understand model behavior and business logic
• Identify product problems, suggest solutions, and track issues to improve product quality and customer satisfaction

Requirements

• BS in Computer Science or related field
• Experience in QA Automation
• Programming skills in Python (preferred), JavaScript, or Java
• Experience with test automation frameworks such as PyTest, Robot Framework, Selenium, or Cypress
• Understanding of the machine learning lifecycle and model testing concepts
• Familiarity with API testing tools like Postman and CI/CD tools like Jenkins and GitHub
• Experience with data validation in structured and semi-structured formats (JSON, CSV, etc.)
• Experience working with logs, metrics, and monitoring systems such as Grafana
• Familiarity with ML libraries from a testing perspective
• Experience testing systems involving real-time data, predictive modeling, or sentiment/emotion analysis

We refresh listings regularly, but some roles close early on the source platform.