QA & Automation Engineer (AI/Data) - Flexible Hours

Ngo Consulting Partners; Australia; A distancia; AUD 60.000 - 90.000; Jornada completa

Descripción de la vacante

Ngo Consulting Partners is seeking an early-career QA engineer to help ensure the accuracy, consistency, and reliability of AI and data-driven products. You’ll test, validate, and automate workflows in a small collaborative team.

Flexible: 20–35+ hours/week. You will contribute to automated tests with PyTest, CI/CD integrations, and validation of JSON schemas, while learning from senior engineers and shaping testing processes.

Formación

• 1–3 years of professional experience in QA automation, software testing, or software engineering.
• Working knowledge of Python or similar scripting languages.
• Familiarity with unit testing frameworks (e.g., PyTest, Unittest, Mocha/Jest).
• Basic understanding of CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI).
• Experience with Git and modern source control workflows.
• Comfortable working with JSON schemas, API validation, and data-driven testing.
• Comfortable leveraging AI tools to augment and optimize day-to-day tasks.

Responsabilidades

• Test software pipelines and AI model outputs for accuracy, consistency, and stability.
• Develop and maintain automated validation scripts and regression test suites.
• Maintain and curate test datasets to ensure broad coverage of normal, edge, and failure scenarios.
• Assist in defining and documenting test plans, acceptance criteria, and QA results with product and engineering teams.
• Write automated unit and integration tests and integrate them into CI/CD pipelines.
• Monitor test results and troubleshoot failures with guidance from senior engineers.

Conocimientos

Python

PyTest

CI/CD

Git

JSON schemas

AI tools

QA automation

Unit testing

Docker

Herramientas

GitHub Actions

Jenkins

CircleCI

Descripción del empleo

Ngo Consulting Partners is seeking an early-career QA engineer to help ensure the accuracy, consistency, and reliability of AI and data-driven products. You’ll test, validate, and automate workflows in a small collaborative team.

Flexible: 20–35+ hours/week. You will contribute to automated tests with PyTest, CI/CD integrations, and validation of JSON schemas, while learning from senior engineers and shaping testing processes.