Cloud Engineer — AI & Data Platforms

Medibank; Melbourne; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible & hybrid work

Learning & development

Health & wellbeing initiatives

Career growth in tech & data

Inclusive team environment

Job summary

Medibank in Melbourne is seeking a Cloud Engineer – AI & Data to design, deploy and govern cloud environments across AWS and Azure, with a focus on AI and data platforms. You will apply IaC, automation and security best practices to deliver scalable, compliant solutions.

You’ll collaborate with Data, AI and Tech teams, operate with Terraform, CloudFormation, Ansible, and modern cloud services, and contribute to governance, cost control and continuous improvement.

Qualifications

• 2-5 years' experience as a Cloud Engineer with strong AWS experience.
• Proven experience designing and deploying cloud environments using Infrastructure as Code.
• Experience supporting data, analytics and AI/ML workloads in AWS.
• Familiarity with AWS AI services including Bedrock, SageMaker, Q, Comprehend, Textract and Kendra.
• Strong AWS administration experience.
• Experience with AWS services: S3, Glue, Athena, Redshift, EMR, SageMaker, Bedrock.
• Experience with serverless and container technologies including Lambda, Docker, ECS, EKS and Fargate.
• Strong understanding of cloud security and governance practices.
• Experience with Python and Linux shell scripting.
• Experience using Git and CI/CD tools such as Jenkins and GitHub.
• Experience working in Agile delivery environments.
• Nice to have: AWS Solutions Architect certification.

Responsibilities

• Design, build and maintain cloud environments across AWS and Azure.
• Develop IaC solutions using Terraform, CloudFormation, Ansible.
• 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.
• Build and operate cloud platforms that support data, analytics and AI/ML workloads.
• Design and support AWS-based AI solutions using Bedrock, SageMaker, Q, Comprehend, Textract and Kendra.
• Support governance, classification and lifecycle management of AI solutions across environments.
• Assist in secure, cost-effective adoption of AI technologies.
• Partner with Data and AI teams to enable innovative use cases while ensuring operational excellence.
• Apply cloud security best practices and governance standards.
• Ensure compliance with regulatory, privacy and security requirements.
• Enforce Medibank's cloud governance standards and runbooks.
• Monitor, audit and remediate across cloud environments.
• Monitor and support cloud infrastructure for availability and performance.
• Manage change, release, incident and problem management processes.
• Maintain operational documentation and runbooks.
• Contribute to cloud reliability and continuous improvement initiatives.
• Build relationships with stakeholders; document requirements and support delivery.
• Facilitate workshops and cross-functional collaboration to deliver outcomes.

Skills

AWS experience

IaC

AI/ML workloads

Python

Linux shell

Git & CI/CD

Agile

Cloud security

Data analytics

SageMaker

Tools

Terraform

CloudFormation

Ansible

Docker

ECS

EKS

Fargate

Jenkins

GitHub

Job description

Medibank in Melbourne is seeking a Cloud Engineer – AI & Data to design, deploy and govern cloud environments across AWS and Azure, with a focus on AI and data platforms. You will apply IaC, automation and security best practices to deliver scalable, compliant solutions.

You’ll collaborate with Data, AI and Tech teams, operate with Terraform, CloudFormation, Ansible, and modern cloud services, and contribute to governance, cost control and continuous improvement.