AI-Augmented QA Engineer

AI Augmented QA Engineer

Location: Auckland, Hybrid Department: Engineering | Role Type: Shared Service / Force Multiplier

Fixed Term - ASAP - till 28 May 2027

THE MISSION

The AI-Augmented QA Engineer builds and owns our quality infastructure. Unlike traditional QA roles, you don't sit inside a single pod to manually click through features; you serve as a force multiplier across all pods. Your mission is to build the automated frameworks and AI-orchestrated tooling that allow Product Engineers to verify their own work with confidence.

This is a "Quality-as-Code" role. In an environment moving at AI-augmented speeds, you are responsible for building the safety nets that catch characteristic AI failures—hallucinated logic, shallow error handling, and compliance gaps—before they ever reach production. You don't gatekeep delivery; you accelerate it by making high-quality shipping the path of least resistance.

This is a fixed term position until the end of May 2027 - covering parental leave.

WHAT YOU WILL DO

• Infrastructure Design: Build and maintain AI-orchestrated frameworks (Python/Playwright) that are modular and usable by every pod.

• AI-Generated Strategy: Use AI tools (Cursor, Claude, and others) to transform feature specs into comprehensive test plans, specifically hunting for obscure edge cases and failure scenarios.

• Hands-On Testing: Perform manual and exploratory testing where automated coverage doesn’t yet exist. Know where the risks are in the product surface and prioritise accordingly.

• Stress & Scale: Build load-testing infrastructure to simulate high-throughput scenarios across our translation APIs and verification pipelines.

• AI Code Verification: Identify where AI-generated code introduces security gaps or hallucinated compliance behaviour, and build automated detection into the shared quality layer.

• Shared Asset Library: Develop a central repository of test assets that pods can extend and reuse, preventing "reinventing the wheel" across the organization.

WHAT WE ARE LOOKING FOR

AI-Augmented Testing

• AI as a daily tool: You already use AI in your workflow – coding assistants, test generation, prompt engineering. Not curious about AI; already doing it.

• The Irony of AI: You understand that AI can generate tests that pass without actually covering failure modes. You have the intuition to catch these "false positives."

• Automated Generation: Experience using AI to generate test plans, edge case scenarios, and automation scripts, coupled with the technical depth to verify their validity.

Technical Foundation

• Testing Fundamentals: You understand test strategy, test design, coverage and risk – not just how to write a test script.

• Python Proficiency: You can write and maintain test automation, scripts and frameworks in Python.

• Tooling: Experience with test automation frameworks (Playwright, Selenium, or similar) and CI/CD pipeline integration.

• Failure Pattern Recognition: Knowledge of where AI-generated code commonly stumbles: security boundaries, data validation, and overconfident logic.

Mindset

• Self Directed: You figure things out, ask good questions, and don’t wait for someone to hand you a process

• Cross-Team Fluency: This role is shared across engineering pods with different contexts and cadences. You manage that without being managed.

• Prevention over Detection: You don’t just find bugs; you design systems that prevent them from being written in the first place.

• Speed + Rigor: You are comfortable working at the intersection of velocity and discipline, understanding that in 2026, you cannot have one without the other.

Nice-to-Haves

• Familiarity with load testing and performance testing tools

• Exposure to compliance and security testing patterns (GDPR, data handling)

• Additional languages beyond Python (TypeScript, JavaScript)

• Background in localisation, language technology, or NLP-adjacent domains

• Experience in smaller, fast-moving companies where you wear multiple hats

WHY THIS ROLE?

You won't be stuck in a repetitive manual testing loop. You’ll be building the AI-driven quality engine of a modern tech company. You’ll have a bird’s-eye view of the entire technical landscape, influencing the standards of every pod at Straker

If you’re the kind of person who sees AI as a tool to be wielded rather than a threat to be managed – this is the role for you! Apply Now!