QA Engineer - AI/ML & Web Automation in Docker CI/CD

Thompson Street Capital Partners; Oklahoma City (OK); On-site; USD 80,000 - 130,000; Full time

Job summary

Thompson Street Capital Partners is seeking a Quality Assurance (QA) Engineer to design and maintain automated test frameworks for web applications and AI-driven features. You will execute UI and API tests, explore product behavior, and validate non-deterministic model outputs in fast-paced teams.

You will containerize test environments with Docker, integrate tests into CI/CD pipelines, and leverage AI-assisted tools to optimize coverage and release timing.

Qualifications

• Experience building/maintaining automated test frameworks for web apps and APIs.
• Hands-on UI/API testing, exploratory testing, and validating AI/ML outputs.
• Familiar with Docker-based test environments and CI/CD integrations.
• Knowledge of AI/ML testing concepts and non-deterministic outputs.

Responsibilities

• Design, develop, and maintain automated test frameworks for modern web apps and APIs.
• Integrate automated tests into CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins).
• Create and manage containerized test environments and data.
• Develop test strategies for AI/ML features, understand non-deterministic outputs and latency.
• Collaborate with Product Owners, Software Engineers, and Data/ML Engineers.

Skills

Automation frameworks

Docker

API testing

Web tech

Programming languages

SQL

Agile

Communication

Education

Bachelor's degree preferred

Tools

Playwright

Cypress

Selenium

WebdriverIO

Postman

REST Assured

Job description

Thompson Street Capital Partners is seeking a Quality Assurance (QA) Engineer to design and maintain automated test frameworks for web applications and AI-driven features. You will execute UI and API tests, explore product behavior, and validate non-deterministic model outputs in fast-paced teams.

You will containerize test environments with Docker, integrate tests into CI/CD pipelines, and leverage AI-assisted tools to optimize coverage and release timing.