Quality Assurance Automation Engineer (AQA)

We are hiring a talented Quality Assurance Automation Engineer to join our client's team — a well-known fintech company.

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 (market data, sentiment signals, 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

• Suggest solutions to identified product problems

• Identify problem areas and add them to a tracking system

• Investigate product quality to drive improvements and achieve better customer satisfaction

• Maintain test documentation

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 like PyTest, Robot Framework, Selenium, or Cypress

• Understanding of the machine learning lifecycle and model testing concepts

• Familiarity with API testing tools (e.g., Postman) and CI/CD tools (e.g., Jenkins, GitHub)

• Experience with data validation in structured and semi-structured formats (JSON, CSV, etc.)

• Experience working with logs, metrics, and monitoring systems (e.g., Grafana)

• Familiarity with ML libraries from a testing perspective

• Experience testing systems involving real-time data, predictive modeling, or sentiment/emotion analysis