QA Automation Engineer

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

We are seeking a highly skilled QA Automation Engineer with a strong background in Python coding. If you are passionate about working with data, automation tests, and have experience with libraries like Pandas or NumPy, we want to hear from you!

Key Responsibilities:

Develop and maintain Python-based automation tests for a Web product, with a strong backend orientation.

Be part of a QA Automation team responsible for extending an existing automation framework and creating new automated tests.

Collaborate closely with Backend engineers and Product to translate requirements into reliable automated coverage.

Requirements:

• 4 years of hands-on experience in Python and Pytest, with experience in libraries such as Pandas, NumPy, or similar.
• Hands-on experience with AI-powered automation frameworks
• Experience with AI-powered automation: Proficiency in leveraging LLMs and AI agents to accelerate test case creation, edge case discovery, and automated bug reporting.
• Experience in creating and orchestrating AI agents to automate and execute tests
• Strong analytical and problem-solving skills.
• Experience in using SQL (BigQuery / GCP experience is a plus).
• Experience with RestAPI
• Experience in developing automation test scripts.
• ֿLinux OS
• Strong analytical and troubleshooting skills, with the ability to investigate and resolve complex issues.
• Proficiency in SQL and data validation for thorough backend testing.
• Solid experience in writing and executing detailed test plans and test cases.
• Highly organized, with a strong commitment to quality and on-time delivery.
• Excellent verbal and written communication skills in English.
• Bachelor’s/Master’s in Computer Science (or equivalent)
  
  

• Knowledge in TypeScript, familiarity with CI/CD processes and pipelines, Docker
• GraphQL
• Hands-on experience with Playwright or other frameworks