Cloud Engineer - AI & Data Platform (AWS/Azure)

Medibank Private Limited

Melbourne

On-site

AUD 120,000 - 180,000

Full time

29 hours ago
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Benefits offered by this job

Flexible working
Career development
Health and wellbeing programs

Job summary

Medibank Private Limited is seeking a Cloud Engineer – AI & Data in Melbourne to design, deploy and optimise cloud environments supporting data, analytics and AI/ML workloads. You will work with AWS-centric services and IaC practices to deliver secure, scalable and cost-efficient platforms.

You will collaborate with Data, AI and Technology teams, applying governance and security standards while advancing automation, monitoring and continuous improvement across cloud environments.

Qualifications

  • 2-5 years of Cloud Engineer experience with strong AWS expertise.
  • Proven ability to design and deploy cloud environments using Infrastructure as Code.
  • Experience supporting data, analytics and AI/ML workloads in AWS.

Responsibilities

  • Design, build and maintain cloud environments across AWS and Azure.
  • Develop Infrastructure as Code solutions using Terraform, CloudFormation, Ansible or similar tools.
  • Automate cloud provisioning, deployment and operational processes.
  • Continuously evaluate and implement emerging cloud capabilities and managed services.
  • Collaborate with stakeholders to understand requirements and deliver scalable cloud solutions.

Skills

AWS
Infrastructure as Code
Python
Cloud security

Tools

Terraform
CloudFormation
Ansible
Docker
ECS
EKS
Fargate
GitHub
Jenkins

Job description

Medibank Private Limited is seeking a Cloud Engineer – AI & Data in Melbourne to design, deploy and optimise cloud environments supporting data, analytics and AI/ML workloads. You will work with AWS-centric services and IaC practices to deliver secure, scalable and cost-efficient platforms.

You will collaborate with Data, AI and Technology teams, applying governance and security standards while advancing automation, monitoring and continuous improvement across cloud environments.

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