We’ve been proudly serving Australian communities since 1914 and have grown to become a top 30-listed company on the ASX with a portfolio of iconic homegrown brands. At the heart of our continued success is over 115,000 team members working across the country, all contributing to bringing our customers smiles. You’ll not only get to see your work make a difference, you’ll be part of a team working together to help Australians eat and live better every day.

About the team

As the way Australians shop continues to evolve, our Data and AI Team keep Coles at the forefront of modern retail. We combine data, artificial intelligence, and applied engineering to reimagine how our stores, supply chain, and digital channels operate — creating smarter, more connected, and seamless experiences for our customers and team members.

Operating as a centralised development and enablement function within Coles Technology, the team unites product, engineering, and platform capabilities to deliver the intelligence layer of the enterprise. We serve every part of Coles — from computer vision applications that enhance in-store experiences and reduce loss, to forecasting, optimisation, and decision‑support solutions that drive efficiency, accuracy, and agility across our supply chain, retail operations, and corporate functions.

The scale and impact of this work are significant. Coles serves millions of customers each week across more than a thousand stores nationwide, and our AI and data capabilities provide the intelligence that underpins how we plan, move, sell, and serve. By combining deep data capability with applied AI and up-to-date engineering, we’re enabling Coles to become a truly AI‑enabled enterprise,



transforming how we operate and how Australia shops every day.

About the role

We are currently recruiting for a Lead Platform Engineer to contribute to the development of the Data & AI platform technology roadmap, ensuring alignment with business priorities and customer value.

You will also:

- Lead the design, development, and testing of platform services, identifying opportunities for improvement and delivering scalable, secure, and high‑performing solutions.
- Manage technical risks and ensure non‑functional requirements (e.g. performance, reliability, scalability) are addressed; actively participate in forums to reduce platform technical debt.
- Define and drive quality engineering practices, including automated test coverage, CI/CD integration, and feedback loops from production incidents.
- Lead planning and coordination of large‑scale platform releases across multiple environments; recommend and implement automated deployment strategies and monitor post‑release performance.
- Provide accurate estimations of development effort, resources, time, and complexity across agile and waterfall delivery models.

Leadership

- Stay current with emerging trends in data and AI technologies, tools, and frameworks, and actively integrate external innovation into platform engineering practices.
- Build and maintain strong relationships with strategic vendors, academic institutions,



and industry networks to unlock new opportunities, foster knowledge sharing, and enable collaboration.
- Document platform engineering outcomes, learnings, and next steps in a structured, reusable format to support continuous improvement and knowledge transfer.

About you and your skills

- Extensive experience designing, developing, and optimising enterprise data and AI platforms, with deep expertise in cloud‑native infrastructure, distributed systems
- Delivered outcomes across multiple platform components and domains, contributing to solution architecture, technical strategy, and alignment with business and implementation requirements.
- Scoped and specified complex platform solutions, gaining stakeholder support through clear articulation of technical direction, business impact, and alignment with strategic goals.
- Led cross‑functional collaboration across engineering, data science, product, and architecture teams to deliver scalable, secure, and high‑performing platform capabilities.
- Provided technical leadership and mentorship to engineering teams, fostering a culture of quality, innovation, and continuous improvement through coaching, peer reviews, and knowledge sharing.
- Played a key role in platform governance, ensuring adherence to engineering standards, architectural patterns, and enterprise compliance requirements.
- Actively contributed to platform roadmap planning, prioritisation, and delivery sequencing based on business value, technical feasibility, and resource capacity.
- Experience in designing and integrating solutions using (Azure, Snowflake, Databricks etc.) with a strong understanding of their in

📌 CG Lead Platform Engineer (Melbourne)
🏢 Devopsroles
📍 Melbourne