6 days ago

Head of Engineering Chapter - Software and Quality Engineering

Qantas

Adelaide

6 days ago

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Qantas is seeking a Head of Engineering Chapter to lead software and quality engineering capability at its new Product Innovation Centre in Adelaide. The role drives engineering strategy, technical standards, and AI-native development practices across a distributed chapter structure. Requires 15+ years in software engineering, including 10+ years in senior engineering leadership.

AI-enabledHybridFull-timeExecutiveAI-assisted EngineeringAgentic Engineering

Head of Engineering Chapter - Software and Quality Engineering

Apply

AI-enabledHybridFull-timeExecutiveAI-assisted Engineering

Salary

Not specified

Work Location

Adelaide, South Australia, Australia, AU

Work Model

Hybrid

Experience Required

15 years

Employment Type

Full-time and permanent position

Experience Level

15+ years in software engineering or technology roles, including 10+ years in senior engineering leadership

Core Qualifications

Technical (Must-have)

AI-assisted engineeringAgentic engineeringSoftware EngineeringQuality EngineeringSystems ThinkingTechnical Debt StrategySystemic Risk ManagementEngineering GovernanceWorkforce PlanningCapability Strategy Design

Soft Skills

LeadershipCoachingAccountabilityExecutive-level influenceDecision supportStrategic direction setting

Key Responsibilities

•Lead and drive technology and engineering standards, whilst driving AI adoption within our Product Innovation Centre.
•Work across cross functional teams to uplift our software engineering and quality engineering capability.
•Accountable for the end-to-end engineering and quality engineering capability across the Product Innovation Centre, leading Chapter Leads for Mobile Engineering, Web Engineering, Backend & Integration Engineering, and Quality Engineering.
•Provides hardline leadership to all software and quality engineers, while maintaining alignment with product and platform squads.
•Responsible for defining engineering strategy, establishing technical standards, and driving the adoption of modern software engineering and AI-native development practices.
•Provides leadership on engineering priorities and capability development.
•Ensures consistent quality, scalability, and operational excellence across the organisation.
•Co-leads AI-native engineering transformation in partnership with the Senior Manager, Applied AI.
•Accountable for embedding AI-native practices into engineering teams and ensuring sustained adoption through strong chapter leadership and accountability.
•Translates enterprise technology strategy into execution across a distributed chapter structure.

Engineering LeadershipSoftware EngineeringQuality EngineeringAI AdoptionProduct InnovationAirlines and AviationInformation TechnologyAdelaideFull-timeHybrid

Core Qualifications

Technical (Must-have)

Soft Skills

LeadershipCoachingAccountabilityExecutive-level influenceDecision supportStrategic direction setting

Key Responsibilities

•Lead and drive technology and engineering standards, whilst driving AI adoption within our Product Innovation Centre.

•Work across cross functional teams to uplift our software engineering and quality engineering capability.

•Accountable for the end-to-end engineering and quality engineering capability across the Product Innovation Centre, leading Chapter Leads for Mobile Engineering, Web Engineering, Backend & Integration Engineering, and Quality Engineering.

•Provides hardline leadership to all software and quality engineers, while maintaining alignment with product and platform squads.

•Responsible for defining engineering strategy, establishing technical standards, and driving the adoption of modern software engineering and AI-native development practices.

•Provides leadership on engineering priorities and capability development.

•Ensures consistent quality, scalability, and operational excellence across the organisation.

•Co-leads AI-native engineering transformation in partnership with the Senior Manager, Applied AI.

•Accountable for embedding AI-native practices into engineering teams and ensuring sustained adoption through strong chapter leadership and accountability.

•Translates enterprise technology strategy into execution across a distributed chapter structure.