QA Engineer

Machine Learning Technologies, LLC; Houston (TX); Sur place; USD 120 000 - 170 000; Plein temps

Résumé du poste

Machine Learning Technologies, LLC is seeking a senior QA engineer with 10+ years of experience to lead QA efforts across functional, integration, regression, and end-to-end testing in a retail/e-commerce environment.

The role uses AI-enabled test generation and self-healing automation, and requires strong communication and onshore/offshore coordination. Houston on-site Day 1.

Qualifications

• 10+ years of QA experience with hands-on testing across functional, integration, regression, and end-to-end.
• Hands-on experience leveraging AI tools for test case generation and automated scripts.
• Strong knowledge of retail/e-commerce testing scenarios.
• Excellent communication and stakeholder management; ability to coordinate onshore/offshore.
• Houston local candidates available for Day 1 onsite only.

Responsabilités

• Perform functional, integration, regression, and end-to-end testing of systems.
• Leverage AI for test generation and self-healing automation.
• Lead a team of 5+ QA engineers; coordinate onshore/offshore teams and stakeholders.

Connaissances

QA leadership

Automation testing

AI testing tools

End-to-end testing

Stakeholder management

Team coordination

Retail/e-commerce knowledge

Onsite coordination

Description du poste

• Functional, Integration, Regression, and End-to-End Testing
• AI-Enabled Test Generation and Self-Healing Automation
• Team Handling Experience (5+ Members)

Key Requirements:

• 10+ years of QA experience with strong technical, functional, and automation testing skills.
• Hands-on experience leveraging AI tools for test case generation, automation scripts, and intelligent failure analysis.
• Strong retail/e-commerce knowledge covering online shopping, sales, and store operations.
• Excellent communication, stakeholder management, and onshore/offshore coordination skills.
• Houston local candidates available for Day 1 onsite only.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.