Engineering Delivery Lead

Toll Group

Melbourne

1 week ago

Melbourne

1 week ago

Apply

Engineering Delivery Lead

Engineering Delivery Lead at Toll Group is responsible for driving modern engineering practices, AI-enabled delivery, and ensuring scalable, secure solutions in Melbourne. Requires extensive experience in engineering, delivery, DevOps, and stakeholder management.

Apply

On-site

Full-time

Entry Level

DevOps

CI/CD

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

DevOpsCI/CDAutomated TestingRelease ManagementObservability

Soft Skills

Stakeholder ManagementInfluencingContinuous Improvement

Tools (Must-have)

platformsdelivery datametrics

Preferred Qualifications

Technical (Nice-to-have)

AgileLeanCloudDataAICybersecurityITILProject Delivery

Key Responsibilities

•Lead end-to-end engineering delivery while aligning stakeholders to translate priorities into clear, measurable outcomes.
•Enable modern engineering toolsets and practices across the full delivery lifecycle, from planning to production support.
•Improve delivery flow by removing inefficiencies and using data and metrics to enhance predictability, manage risk and increase throughput.
•Promote AI-enabled ways of working and a product/platform mindset with reusable, scalable and governed assets.
•Ensure high-quality, secure and scalable solutions while challenging low-value work and outdated practices that create complexity or technical debt.
•Strengthen governance and collaboration by coordinating teams and vendors, improving visibility through metrics, and driving adoption with measurable business impact.

Engineering Delivery LeadToll GroupLogisticsSupply ChainDevOpsCI/CDAutomationDataAIMelbourne

Key Responsibilities

•Lead end-to-end engineering delivery while aligning stakeholders to translate priorities into clear, measurable outcomes.

•Enable modern engineering toolsets and practices across the full delivery lifecycle, from planning to production support.

•Improve delivery flow by removing inefficiencies and using data and metrics to enhance predictability, manage risk and increase throughput.

•Promote AI-enabled ways of working and a product/platform mindset with reusable, scalable and governed assets.

•Ensure high-quality, secure and scalable solutions while challenging low-value work and outdated practices that create complexity or technical debt.

•Strengthen governance and collaboration by coordinating teams and vendors, improving visibility through metrics, and driving adoption with measurable business impact.