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Senior QA Automation Engineer

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Onsite

Senior QA Automation Engineer

OneJar

Senior QA Automation Engineer

Skills

PythonJavaTesting & QAJenkinsPostmanGrafanaSeleniumCypressMachine LearningAIGitHubJavascript

4 months ago

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Important information


Contract type:

Permanent

Location:

Beirut, Lebanon

Work mode:

Onsite

Published on:

20 August 2026

What they need


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

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