Senior AI Cloud Engineer

Calleo; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Calleo is recruiting a Cloud AI Engineer to design, build and operate secure cloud platforms for AI solutions across Canberra, Sydney and Brisbane. You will collaborate with architects, data scientists, cyber security specialists and engineering teams to drive secure-by-design platform capabilities.

You will implement scalable AI infrastructure, align with governance and compliance, and lead deployment, monitoring and optimization of AI workloads in enterprise environments.

Qualifications

• Experience designing and operating cloud infrastructure in Azure and/or AWS.
• Strong Kubernetes and containerization experience.
• Infrastructure as Code using Terraform, Ansible or similar tooling.
• Sound Linux administration, networking, storage and cloud services knowledge.
• CI/CD pipelines, GitOps and DevSecOps practices.
• Designing highly available, secure and resilient environments.
• Excellent stakeholder engagement and communication skills.

Responsibilities

• Design, build and maintain secure, scalable cloud infrastructure for AI and ML workloads.
• Implement and optimize enterprise AI platforms with focus on performance and reliability.
• Design and support Kubernetes and container-based environments.
• Develop and maintain IaC using Terraform and Ansible.
• Implement CI/CD, GitOps and DevSecOps practices for platforms.
• Support AI workload deployment, model serving and monitoring.
• Create solution designs, technical documentation and artefacts.
• Provide technical leadership and knowledge transfer to stakeholders.

Skills

Cloud architecture

Kubernetes

CI/CD & GitOps

Linux administration

Networking

Security governance

Tools

Terraform

Ansible

Job description

Federal Government Department

Canberra, Sydney & Brisbane Location

Contract Opportunity - Baseline Clearance required

Are you passionate about building secure, scalable cloud platforms that power Artificial Intelligence, Machine Learning and Generative AI solutions?

An exciting opportunity exists within a Federal Government Department for an experienced Cloud AI Engineer to support the delivery of enterprise-scale cloud and AI initiatives. This role will play a critical part in designing, implementing and operating modern AI platforms that enable innovation while maintaining strong security, governance and compliance standards.

About the Role

As a Cloud AI Engineer, you will be responsible for designing, building and optimising cloud-native infrastructure that supports AI, ML and Generative AI services. Working closely with architects, data scientists, cyber security specialists and engineering teams, you will help establish foundational AI platform capabilities and drive the adoption of secure-by-design engineering practices.

Key Responsibilities

• Design, build and maintain secure, scalable and highly available cloud infrastructure supporting AI and machine learning workloads.
• Implement and optimise enterprise AI platforms, ensuring performance, resilience and operational excellence.
• Design and support Kubernetes and container-based environments.
• Develop and maintain Infrastructure as Code (IaC) solutions using tools such as Terraform and Ansible.
• Implement CI/CD, GitOps and DevSecOps practices to support platform deployment and operations.
• Support AI workload deployment, model serving, monitoring and operational management.
• Design cloud architectures aligned with security, governance and compliance requirements.
• Collaborate with architecture, cyber security, data and engineering teams to deliver integrated solutions.
• Produce solution designs, technical documentation and implementation artefacts.
• Provide technical leadership, guidance and knowledge transfer to stakeholders and delivery teams.

Essential Skills & Experience

• Demonstrated experience designing and operating cloud infrastructure within Azure and/or AWS environments.
• Strong experience with Kubernetes, containerisation and platform engineering.
• Experience implementing Infrastructure as Code using Terraform, Ansible or similar tooling.
• Strong understanding of Linux administration, networking, storage and cloud services.
• Experience with CI/CD pipelines, GitOps and DevSecOps practices.
• Experience designing highly available, secure and resilient environments.
• Strong problem-solving, stakeholder engagement and communication skills.
• Ability to present technical recommendations and influence outcomes across technical and non-technical audiences.

Highly Desirable

• OpenShift and OpenShift AI experience.
• Experience with AI/ML platforms and MLOps practices.
• Azure Machine Learning, Azure AI Services and/or AWS SageMaker.
• Experience deploying and managing Generative AI and Large Language Model (LLM) solutions.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases and AI model serving.
• NVIDIA GPU infrastructure and AI workload optimisation experience.
• Experience working within Government or other highly regulated environments.
• Familiarity with ISM, Essential Eight, PSPF and secure-by-design principles.

What's on Offer?

• Opportunity to contribute to national-scale AI and cloud initiatives.
• Long-term contract opportunity.
• Modern cloud, automation and AI technology stack.
• Collaborative and technically focused delivery environment.

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Calleo is an equal opportunity employer and we encourage applications from all people including Aboriginal and Torres Strait Islander peoples.