Quality Engineering Lead

NAB

. Define and evolve BNZ’s quality engineering strategy, standards and practices, including test automation, quality gates, test data, observability and CI/CD quality controls .

Posted 10/8/2026full-timeAuckland • New ZealandSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quality engineering strategy, standards, and practices, with a focus on test automation, shift-left testing, and AI-assisted engineering tools. Capable of coaching teams and integrating quality expectations into technology standards and delivery governance.

Highest-signal resume keywords

Quality Engineering StrategyTest AutomationShift-Left TestingAI-Assisted Engineering ToolsQuality Standards Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Quality EngineeringTest PracticesSDLCAutomated Quality ControlsData-Driven Decision Making

Soft Skills

CoachingInfluencing Without AuthorityPragmatic Mindset

Tools & Technologies

AI-Enabled Engineering ToolsQuality Tools

Industry Keywords

Quality GatesDelivery GovernanceQuality MaturityRisk ManagementData Protection

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Define and evolve BNZ’s quality engineering strategy, standards and practices, including test automation, quality gates, test data, observability and CI/CD quality controls
Partner with delivery and platform teams to embed modern, shift-left quality practices into ways of working, tooling and delivery governance
Coach engineers and quality practitioners through communities of practice and learning pathways
Use quality signals and delivery data to measure quality maturity, identify improvement opportunities and connect engineering quality to delivery risk, assurance and release confidence
Guide responsible use of AI-enabled engineering tools for test design, automation, defect analysis, documentation, pattern identification and continuous improvement
Translate emerging quality engineering and AI-assisted practices into pragmatic guidance, standards and coaching
Integrate quality expectations into Technology standards, tooling and engineering practices
Shape quality engineering capability expectations, career pathways, coaching and progression alignment across teams

Requirements

What you’ll need

Strong technical credibility across modern quality engineering and test practices
Experience defining or evolving quality standards in a complex or regulated environment
Deep understanding of SDLC, shift-left testing and automated quality controls
Ability to influence and coach engineers and leaders without relying on formal authority
Comfort using data and evidence to drive change and prioritisation
Pragmatic mindset balancing speed, quality, risk and assurance
Practical experience using AI-assisted engineering or quality tools to improve software delivery outcomes
Sound judgement around responsible AI use, risk management, data protection and governance

Benefits

Comp & perks

Wellbeing support
Flexible working
Generous leave offering
Growth, learning and career development opportunities