AI-Driven QA Engineer for Web & API Automation

Revenue Management Solutions, LLC; Oklahoma City (OK); On-site; USD 70,000 - 100,000; Full time

Job summary

Revenue Management Solutions, LLC is seeking a Quality Assurance Engineer in Oklahoma City to design, build, and maintain automated test frameworks for modern web apps and AI-driven solutions. You will perform hands-on UI/API testing and validate non-deterministic outputs from ML models.

You will work with Docker-based test environments, integrate tests into CI/CD pipelines, and collaborate with Product, Software, and Data/ML engineers to improve coverage and release quality.

Qualifications

• Experience with modern web automation and end-to-end testing tools.
• Docker for containerized test environments.
• API testing and automation experience.
• SQL querying for test setup and verification.
• Familiar with AI/ML testing concepts.
• Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins).
• Strong Agile/Scrum experience.
• Strong communication and problem-solving skills.

Responsibilities

• Design, develop, and maintain automation frameworks for web apps and APIs.
• Integrate test suites into CI/CD pipelines.
• Create containerized test environments using Docker.
• Test AI/ML features, evaluate non-deterministic outputs.
• Develop strategies for AI output validation and performance.
• Collaborate with Product Owners, Software and Data/ML Engineers.
• Participate in code reviews of test scripts.
• Document defects and track quality metrics.

Skills

Agile methodology

Problem-solving

Communication

Education

Bachelor's degree preferred

Tools

Playwright

Cypress

Selenium

WebdriverIO

Docker

Postman

REST Assured

HTTP clients

SQL

PostgreSQL

SQL Server

MySQL

GitHub Actions

Azure DevOps

Jenkins

Job description

Revenue Management Solutions, LLC is seeking a Quality Assurance Engineer in Oklahoma City to design, build, and maintain automated test frameworks for modern web apps and AI-driven solutions. You will perform hands-on UI/API testing and validate non-deterministic outputs from ML models.

You will work with Docker-based test environments, integrate tests into CI/CD pipelines, and collaborate with Product, Software, and Data/ML engineers to improve coverage and release quality.