AI Quality & Systems Reliability Engineer (Melbourne)

AI Quality & Systems Reliability Engineer (Melbourne)

31 Jul
|
Software Testing Course
|
Melbourne

31 Jul

Software Testing Course

Melbourne

AI Quality & Systems Reliability Engineer

We are seeking an AI Quality & Systems Reliability Engineer to help build our AI-native testing capability and improve the reliability of our software, systems and connected devices in Melbourne.

This is an AI-native quality engineering role combining:

AI-assisted and AI-driven software testing

Systems reliability investigation

Software, device and IoT integration testing

On-site operational research

Local test lab development

You will work across our SaaS platform, web applications, iOS and Android applications, POS systems, connected devices and IoT-enabled environments.

This role goes beyond executing test cases and reporting defects. You will be expected to use AI as a core part of the testing workflow, investigate complex issues, reproduce failures, identify root causes and follow problems through to verified resolution.

You will work closely with product, engineering, operations and customer-facing teams to improve product quality and system stability in real operating environments.

Key Responsibilities

AI-Native Quality Engineering

Build and improve an AI-native quality engineering approach across web, mobile, POS and integrated systems.

Use AI throughout the testing lifecycle, including test design, exploratory testing, test-data generation, defect analysis, automation development and maintenance.

Evaluate and introduce AI testing tools, coding agents and automated workflows that improve test coverage, speed and consistency.

Convert product requirements, production issues and customer feedback into effective test scenarios.

Identify quality risks early and recommend practical prevention and improvement measures.

Test Automation and Quality Validation

Design, build and maintain automated tests for web, iOS and Android applications.

Develop automated regression, smoke, integration and end-to-end test coverage for critical business workflows.

Improve the reliability, maintainability and efficiency of automated testing.

Perform exploratory, functional, compatibility and stability testing where automation alone is insufficient.

Produce clear testing evidence, quality assessments and release recommendations.

Systems Reliability and Investigation





Investigate issues across applications, devices, operating systems, networks and third-party integrations.

Reproduce intermittent, environment-specific and difficult-to-diagnose failures.

Analyse logs, system behaviour, device configurations and operational workflows.

Perform structured root-cause analysis and recommend corrective and preventive actions.

Verify solutions under realistic operating conditions and monitor recurring issues.

Work with product and engineering teams to improve long-term product stability.

Test Lab and In office Operations

Help establish and operate a local quality and systems reliability lab in Melbourne.

Maintain test devices, operating environments, system configurations and equipment records.

Build repeatable test environments that reflect real customer configurations.

Design long-running, recovery and failure-simulation tests.

Visit customer venues to observe workflows, investigate issues and collect technical evidence.

Translate field findings into test scenarios, product improvements and operating procedures.

Create practical testing, troubleshooting and device-management documentation.

Required Skills and Experience

At least five years of experience in software testing, quality engineering, test automation, systems integration or a similar technical role.

Strong hands-on experience testing web or mobile applications.

Experience designing and maintaining automated tests using modern testing frameworks.

Practical experience using AI coding tools, AI agents or AI-assisted testing tools as part of an engineering workflow.

Strong analytical and troubleshooting skills across software, connected devices, IoT environments and networks.

Ability to investigate complex issues, analyse evidence and communicate root causes clearly.





Strong written and spoken English and Mandarin .

Ability to work independently, take ownership and follow issues through to resolution.

Full Australian working rights.

Ability to travel to customer sites within Melbourne when required.

Highly Desirable

Experience building or operating AI-native testing workflows.

Experience using AI agents for test generation, execution, analysis or automation maintenance.

Experience testing large-scale POS, retail, hospitality, ticketing, venue-management or payment-related systems.

Experience with complex systems involving web applications, mobile applications, POS terminals, IoT-enabled devices and connected peripherals.

Experience establishing a test lab or managing multiple test devices and environments.

Experience investigating production incidents or customer-site reliability issues.

Candidate Profile

The ideal candidate is hands-on, analytical and highly accountable.

You are comfortable using AI as a practical engineering tool rather than treating it as an optional add-on. You can move between automated testing, application behaviour, physical devices, customer workflows and on-site environments.

You do not stop at recording a defect. You want to understand why it happened, how to reproduce it, how to fix it and how to prevent it from happening again.

You should be:

Proactive and self-directed

Curious and technically hands-on

Structured in problem investigation

Comfortable with ambiguity

Patient with intermittent issues

Focused on outcomes and long-term stability

What Success Looks Like

Within the first six months, the successful candidate will be expected to:

Establish a functional local quality and systems reliability lab.

Introduce an AI-native testing workflow for key products and business processes.

Build reliable automated coverage for critical user journeys.

Improve the reproduction and resolution rate of production and field issues.

Reduce recurring software, integration and device-related incidents.

Create clear testing, troubleshooting and operating documentation.

Deliver measurable improvements in product quality and system stability.

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📌 AI Quality & Systems Reliability Engineer (Melbourne)
🏢 Software Testing Course
📍 Melbourne

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