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TL;DR
Senior Quality Automation Engineer (AI): Building the quality system for an agentic AI commercial real estate product with an accent on test automation, continuous delivery controls, and evaluation of non-deterministic AI behaviour. Focus on designing JavaScript/TypeScript automation frameworks, curating end-to-end tests, and defining quality controls for AI-powered features.
Location: Napier, New Zealand, or remote from another city in New Zealand. Hybrid and remote-friendly work options are available.
Company
Re-Leased is a New Zealand SaaS company building am:pm, an agentic AI product for commercial real estate operators.
What you will do
- Own quality automation across the test pyramid and steward the end-to-end test suite.
- Design pipeline gates, smoke checks, release signals, and other automated controls supporting continuous delivery.
- Use AI tools for test generation, failure triage, and test data creation while reviewing and refining generated results.
- Shape testing practices for AI-powered features, including evaluations of non-deterministic outputs, tool use, and statistical correctness.
- Partner with engineers on acceptance criteria and user-focused positive, negative, and edge-case scenarios.
- Run exploratory and risk-based testing, analyse quality signals, and feed production defects back into automation.
Requirements
- 5+ years of QA experience in a SaaS product environment with automation central to the work.
- Experience designing automation frameworks from the ground up and building JavaScript/TypeScript end-to-end suites with tools such as Playwright or Cypress.
- Strong experience with Git, branches, pull requests, code review, and reading production code.
- Fluency in CI/CD and experience defining pipeline gates, smoke checks, and rollback signals for safe continuous delivery.
- Current practical use of AI tools and a strong interest in testing non-deterministic AI systems and evaluations.
- Strong exploratory testing skills, test-pyramid judgment, customer focus, and comfort working in ambiguous early-stage product environments.
Nice to have
- Experience with LLM evaluation frameworks, golden datasets, judge models, and statistical thresholds.
- Experience with adversarial AI testing, including prompt injection, jailbreaks, and hostile inputs.
- REST API testing, performance testing, or accessibility testing experience.
- Start-up or zero-to-one product experience.
Culture & Benefits
- Small-team start-up environment within an established SaaS business, with high autonomy and close customer feedback.
- Flexible hybrid and remote-friendly work supporting teams across New Zealand, Australia, the United Kingdom, and North America.
- Health insurance, premium employee assistance services, and an annual wellness allowance.
- Generous paid parental leave and family-friendly support.
- Milestone rewards and additional leave linked to tenure and contribution.
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