Are you a cloud infrastructure leader ready to shape enterprise‑scale digital platforms that enable innovation, reliability and security? Deakin is seeking a Principal, Cloud Infrastructure Engineering to provide specialist technical leadership across our cloud environments, ensuring our infrastructure is resilient, scalable and designed to support the future of digital, AI and data‑enabled services.
Based at either our Melbourne Burwood or Geelong Waterfront Campus, hybrid work is available. This is a full‑time, continuing role.
About The Role
As Principal, Cloud Engineering Infrastructure you will be in a hands‑on technical role, working with Data, Engineering and Product specialists to provide the high‑performing, cost‑efficient and secure environments that make our AI concepts a reality. You will also collaborate with peers in the wider Cloud Systems & Services team to embed shared best‑practices for automated cloud infrastructure management. You will be the technical authority who defines and implements the scalable, production‑grade cloud infrastructure that supports our GEM Generative AI solutions and agentic workflows on AWS. You should be comfortable delivering complex Infrastructure as Code deployments, establishing and managing effective enterprise‑grade observability, and making robust long‑term architectural decisions.
You Will
* Collaborate with stakeholders to align technical roadmaps with business goals.
* Architect end‑to‑end cloud environments specifically optimized for AI/ML workloads.
* Write production‑ready IaC (Terraform) for auto‑scaling GPU and CPU clusters.
* Design CI/CD pipelines that automate the deployment of both infrastructure and ML models.
* Design and implement comprehensive observability and monitoring capabilities.
* Optimize cloud spend through proactive monitoring and architectural refinements.
About You
You are a highly experienced cloud infrastructure engineering professional who thrives in complex enterprise environments.
You’ll Bring
* Expert‑level AWS AI skills: Deep knowledge of Bedrock, Lambda, EventBridge, SQS and EKS & ECS Fargate.
* Infrastructure as Code: High proficiency in Terraform and AWS CDK.
* Data Engineering: Experience with RDS and RAG vector databases.
* Security: Solid understanding of IAM roles, VPC security and data resilience (encryption, backup, redundancy) at scale.
* Operations: Mastery of MLOps principles, including model monitoring and drift detection, and core platform metric observability.
To Apply
Please submit your updated resume and a short cover letter outlining your skills and experience. Application deadline is Sunday, 17 May at 11:55pm.
Pre‑Employment Safety and Suitability Checks
In accordance with the National Higher Education Code to Prevent and Respond to Gender‑based Violence, appointment to this role is subject to successful completion of relevant pre‑employment checks, including Working With Children Checks and candidate gender‑based violence declarations. Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. A declaration is not required from individuals who have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations.
EEO Statement
Deakin values diversity and aims to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.
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