About the Team As the way we shop continues to evolve, our Digital team keeps us at the cutting edge. Driven by our cutting-edge, inclusive and forward-thinking culture, we’re constantly looking at ways to reinvent the shopping experience for our customers and build the next generation of digital retailing. The Data & AI Platform team focuses on accelerating innovation through providing thought leadership, facilitation, rapid experimentation and enabling platforms to test & scale emerging technology opportunities.

What you’ll be doing As a Support Engineer, you will be working to support a computer vision enabled software platform as it scales to hundreds of stores. This includes data analysis, implementation, deployment, and solution monitoring. Working in an innovation team, you will contribute to a range of project types including research works, rapid experimentation, proof-of-concepts, and productionised solutions.

Your primary responsibilities will be to:

- Analyse the performance of different solutions to select the best for the given use case.
- Monitor our deployed systems.
- Carrying out preventative maintenance to ensure minimal downtime of the solution in stores.




- Analyse data from deployed solutions to create insights and reports for stakeholders.
- Perform evaluations of third-party tools to assist with monitoring and/or dashboarding for the solution.
- Remedy any incidents that cause downtime to the solution. Good things you’ll need - Work experience in a relevant field (e.g. computer science, software engineering, technical support).
- An understanding of container build, deployment and runtime e.g. Docker or Podman
- Comfortable working in a headless Linux operating system, Redhat in particular.
- Demonstrated experience coding in Python, experience with the Kubernetes, kafka, GitOps.
- Experience with Ansible tools
- Experience in K3s and AKS will be highly desirable
- Experience with Azure Cloud platform especially Azure monitor
- Experience with Kusto Query Language (KQL) to build Azure dashboards and alerts
- Some experience with metric monitoring tools for data streams
- Excellent problem solving and debugging skills.
- Some exposure to cloud services (e.g. Azure, AWS or GCP)

📌 Data Platform Support Engineer (Melbourne)
🏢 Accenture
📍 Melbourne