AI Cloud Platform Engineer | Kubernetes & MLOps

M&T Resources

City of Melbourne

On-site

AUD 120,000 - 180,000

Full time

43 hours ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

M&T Resources in Melbourne is seeking an experienced AI Cloud Engineer to deliver scalable AI and cloud platform solutions across hybrid environments. You will build AI/ML environments, support Kubernetes workloads, and champion secure-by-design practices for government-grade systems.

Work with architects, data scientists and engineering teammates to implement IaC, CI/CD, and platform governance, enabling reliable AI services for millions of users while adhering to compliance requirements.

Qualifications

  • Experience as an AI Engineer, AI Cloud Engineer, MLOps Engineer or Platform Engineer.
  • Hands-on Kubernetes/OpenShift and container tech experience.
  • Experience building AI/ML platforms and workloads.
  • Knowledge of LLMs, Generative AI, RAG, embeddings and vector databases.
  • Experience with AWS and/or Azure cloud platforms.
  • Strong Python development and automation skills.
  • Experience with Terraform, Ansible, GitOps, ArgoCD or similar DevOps technologies.
  • Knowledge of DevSecOps, security controls and compliance requirements.
  • Experience with CI/CD pipelines and modern software engineering practices.

Responsibilities

  • Design and develop scalable AI and cloud platform solutions.
  • Build and maintain AI/ML environments across cloud, on-premises and hybrid platforms.
  • Develop and support Kubernetes-based AI workloads and infrastructure.
  • Implement Infrastructure as Code (IaC) and DevOps practices.
  • Collaborate with architects, cyber security specialists, data scientists and engineering teams.
  • Deliver secure-by-design solutions aligned with government standards and compliance requirements.
  • Support AI model deployment, monitoring, optimisation and operational management.
  • Contribute to platform governance, automation and continuous improvement initiatives.

Skills

Strong experience as AI/Cloud Engineer
Kubernetes/OpenShift expertise
AI/ML platform experience
LLMs/Generative AI knowledge
Public cloud (AWS/Azure) experience
Python development
DevOps tooling (Terraform, Ansible, Ar

Tools

Kubernetes
OpenShift
Terraform
Ansible
GitOps
ArgoCD
vLLM/Azure ML (model serving)

Job description

M&T Resources in Melbourne is seeking an experienced AI Cloud Engineer to deliver scalable AI and cloud platform solutions across hybrid environments. You will build AI/ML environments, support Kubernetes workloads, and champion secure-by-design practices for government-grade systems.

Work with architects, data scientists and engineering teammates to implement IaC, CI/CD, and platform governance, enabling reliable AI services for millions of users while adhering to compliance requirements.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

AI Cloud Software Engineer – Hybrid, VIC
AI Cloud Software Engineer – Hybrid, VIC

CYOS Solutions • City of Melbourne

Hybrid
AUD 138,000 - 165,000
AI Cloud/Software Engineer Developer
AI Cloud/Software Engineer Developer

Logical Resources • City of Melbourne

Hybrid
AUD 180,000 - 240,000
AI Cloud Engineer
AI Cloud Engineer

M&T Resources • City of Melbourne

On-site
AUD 120,000 - 180,000
AI Cloud Engineer — Hybrid, 12-Month Contract
AI Cloud Engineer — Hybrid, 12-Month Contract

Talent • City of Melbourne

Hybrid
AUD 120,000 - 180,000
Global MLOps Field Engineer - AI/Cloud Solutions Architect
Global MLOps Field Engineer - AI/Cloud Solutions Architect

Jobgether SRL • Australia

On-site
AUD 150,000 - 190,000
Learning budget USD 2,000 per year
Annual compensation review
Fully distributed work environment
+1
Senior DevOps Engineer - AI/ML, AWS & MLOps | Hybrid
Senior DevOps Engineer - AI/ML, AWS & MLOps | Hybrid

Hitech Asia Pacific • New South Wales

Hybrid
AUD 140,000 - 200,000
Hybrid work model
AI Cloud Engineer - Secure, Scalable Platforms
AI Cloud Engineer - Secure, Scalable Platforms

CYOS Solutions • Adelaide

Hybrid
AUD 138,000 - 165,000
AI Cloud Engineer – Hybrid, Secure ML & Automation Lead
AI Cloud Engineer – Hybrid, Secure ML & Automation Lead

Services Australia • Canberra

Hybrid
AUD 120,000 - 160,000
AI-Driven DevOps Lead - AWS, MLOps, Hybrid
AI-Driven DevOps Lead - AWS, MLOps, Hybrid

Ignite • Sydney

Hybrid
AUD 140,000 - 180,000
Hybrid work model
12-month contract + extension
AI Cloud Engineer
AI Cloud Engineer

Talent • City of Melbourne

Hybrid
AUD 120,000 - 180,000