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QA Automation Engineer

Onejar — Jordan · Posted ~1 day ago

Skills

QA automation Automated testing Test suite development Performance testing Stress testing Test documentation Data pipeline validation Machine learning model testing Test automation AI/ML Machine learning Data pipelines

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Summary ✨ AI‑Generated

A fintech organization is looking for a QA Automation Engineer to build and maintain automated tests for AI-driven applications and real-time trading systems. You will validate model inputs and outputs, automate performance and stress testing, investigate quality issues, and collaborate with engineering, data science, and product teams.

Highlights

Test sophisticated AI-driven applications and real-time trading logic while collaborating closely with ML engineers, data scientists, and product teams. The role combines automation, performance engineering, data quality, and machine learning validation.

Description

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 managersDevelop and maintain automated test suites for AI-driven applicationsDesign tests to validate real-time trading logicAutomate performance and stress testing for model inference under various market scenariosValidate 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 modelsWork closely with AI/ML developers, data scientists, and product managers to understand model behavior and business logicSuggest solutions to identified product problemsIdentify problem areas and add them to a tracking systemInvestigate product quality to drive improvements and achieve better customer satisfactionMaintain test documentation Requirements: BS in Computer Science or related fieldExperience in QA AutomationProgramming skills in Python (preferred), JavaScript, or JavaExperience with test automation frameworks like PyTest, Robot Framework, Selenium, or CypressUnderstanding of the machine learning lifecycle and model testing conceptsFamiliarity 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 perspectiveExperience testing systems involving real-time data, predictive modeling, or sentiment/emotion analysis