QA Engineer: AI-Driven Web & API Automation

Revenue Management Solutions, LLC; Oklahoma City (OK); On-site; USD 70,000 - 110,000; Full time

Job summary

Revenue Management Solutions, LLC is seeking a QA Engineer to design, build, and maintain automated test frameworks for modern web apps and AI-driven features. You will work across React/Angular/Vue front-ends and REST APIs, integrating tests into CI/CD pipelines and running in containerized Docker environments.

The role emphasizes testing AI/ML outputs, managing test data, and collaborating with cross-functional teams in an Agile setting.

Qualifications

• Hands-on experience with modern web automation and end-to-end testing tools.
• Experience designing, building, and maintaining automated test frameworks.
• Ability to test AI/ML features and non-deterministic outputs.
• Experience integrating test suites into CI/CD pipelines.
• Familiarity with Docker-based test environments.
• Strong communication with cross-functional teams.

Responsibilities

• Design, develop, and maintain automated test frameworks for web apps and APIs.
• Integrate test suites into CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins).
• Create containerized test environments using Docker and orchestrators.
• Test AI/ML features and non-deterministic outputs for accuracy and latency.
• Collaborate with Product Owners, Software Engineers, and Data/ML Engineers.
• Review test automation code to ensure quality and maintainability.
• Identify, document, and track defects using Jira.
• Contribute to QA standards and test metrics across the org.

Skills

Agile Methodology

Problem-Solving

Communication

AI Feature Testing

Tools

Docker

Playwright

Cypress

Selenium

WebdriverIO

Postman

REST Assured

SQL

Job description

Revenue Management Solutions, LLC is seeking a QA Engineer to design, build, and maintain automated test frameworks for modern web apps and AI-driven features. You will work across React/Angular/Vue front-ends and REST APIs, integrating tests into CI/CD pipelines and running in containerized Docker environments.

The role emphasizes testing AI/ML outputs, managing test data, and collaborating with cross-functional teams in an Agile setting.