API Automation Engineer — AI-Driven Testing & CI/CD

Talent; Brisbane; On-site; AUD 166,000 - 180,000; Full time

Benefits offered by this job

Competitive daily rate

Job summary

Talent in Brisbane is seeking an experienced API Automation Test Engineer to join an enterprise project focused on native app foundations and scalable API testing across mobile platforms.

You will implement robust automation frameworks, work with event-driven architectures, and apply AI-assisted tools to improve testing efficiency and quality while integrating tests into CI/CD pipelines.

Qualifications

• Strong hands-on API automation and framework development.
• Experience with Java, Rest Assured and TypeScript testing tools.
• Knowledge of Kafka and event-driven testing.
• OpenAPI contract testing and schema validation.
• Performance testing with k6 or JMeter.
• Experience in CI/CD pipelines integration.
• Familiarity with AI-assisted coding tools.
• Ability to build reusable test utilities.

Responsibilities

• Design, develop and maintain API automation frameworks using Java, Rest Assured and TypeScript.
• Build automated functional, regression, integration and end-to-end API tests.
• Develop API contract tests and OpenAPI validation.
• Automate Kafka event-driven testing.
• Implement service virtualisation and API mocking with WireMock.
• Develop and execute performance tests using k6 and JMeter.
• Integrate automated testing into CI/CD pipelines.
• Leverage AI coding assistants to accelerate testing.
• Create reusable testing utilities and test data builders.

Skills

Java & Rest Assured

TypeScript & Playwright

Kafka

API Contract Testing

Performance Testing

CI/CD & DevOps

BDD & Mocking

AI-Assisted Engineering

Tools

WireMock

K6

JMeter

OpenAPI

Job description

Talent in Brisbane is seeking an experienced API Automation Test Engineer to join an enterprise project focused on native app foundations and scalable API testing across mobile platforms.

You will implement robust automation frameworks, work with event-driven architectures, and apply AI-assisted tools to improve testing efficiency and quality while integrating tests into CI/CD pipelines.