Supporting a major Australian insurer on their Consumer Lines Pricing (CLP) platform, looking to engage a Specialist, Testing (QA/Tester) to join an established quality team focused on pricing rules, premiums, and configuration accuracy across a live insurance product.
This is a hands‑on role split roughly evenly between manual and automation testing. You'll carry a manual testing workload, designing and executing test cases, managing defects, and supporting releases, alongside running, debugging and extending the team's existing Python-based automation coverage. This isn't a framework-building or architecture role.
The role
- Manual test case design and execution across feature, integration, regression, and end-to-end testing, including managing the test data journey end-to-end for pricing and rating scenarios
- Testing pricing rules, premiums, and configuration changes for accuracy across scenarios, including rating functionality within the Guidewire UI
- Running and debugging existing automated test cases (backend API and frontend UI), and adding additional test cases to the existing Python-based framework using Bruno for API testing
- Performing maintenance on existing automated test cases
- Estimating test timeframes and communicating test data / environment requirements
- Raising and managing defects in Jira, with reporting via Xray and Confluence
- Contributing to the team's testing practices and knowledge sharing across the wider testing capability
What we're looking for
- Genuine domain exposure to insurance systems, ideally pricing or premium/rating systems. This is a mandatory requirement for this engagement, not just a preference
- Hands‑on experience testing pricing/rating functionality within the Guidewire UI (PolicyCenter or equivalent)
- Experience with a rate engine is required; direct experience with Earnix specifically is strongly preferred
- Strong experience writing and executing manual test cases from requirements and user stories.
- Proficient with Jira, Xray, and Confluence for defect logging, tracking, and reporting
- Hands‑on exposure to backend API testing, with a working API automation framework in Python and Bruno or Postman
- Comfortable running and contributing to an existing Python-based automation framework across API and UI, not expected to design or build a framework from the ground up
- Comfortable working in an Agile environment, collaborating on requirements delivered as user stories
- Good understanding of web technologies, including UI concepts, APIs, XML, and JSON
- Desirable: familiarity with CI/CD pipelines (Bitbucket, GitHub)
Engagement
- Hybrid working, Sydney or Melbourne based. Genuinely flexible on location
- Fast-moving process. Candidates who can start straight away will be prioritised
If you've got hands‑on insurance or pricing-systems testing experience, a solid manual testing background, and enough automation exposure to run and extend an existing framework, we'd like to hear from you.