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Data Platform Engineer

Melbourne, 161 Collins Street, Level 5💼 Full-time🗓 2026-09-18 → 2026-09-28

Core

Build, enhance, and optimize core components of the AI & Data Platform, focusing on AI/ML and Agentic AI services, model deployment, data pipelines, and platform automation.

Role type

Senior Platform Engineer (AI/ML Infrastructure)

Builds

Scalable, secure, and reliable AI/ML and Agentic AI platform services, model deployment infrastructure, and data pipelines.

Domain

Artificial Intelligence, Machine Learning, Cloud Infrastructure, Data Engineering

Deliverable

production ML models | infrastructure

Required skills

Cloud-native environment management, MLOps, DevOps, Infrastructure as Code, Platform security, Observability, CI/CD, Kubernetes, Terraform

Preferred skills

Azure ML, Microsoft Foundry, Snowflake, Databricks, Fabric, Agentic AI development

Technologies

Azure, Microsoft Foundry, Azure ML, Snowflake, Databricks, Fabric, Terraform, Azure DevOps, GitHub, Kubernetes, AKS

Responsibilities

Lead configuration and management of cloud-native and hybrid environments; Build and enhance Agentic AI platform capabilities; Contribute to MLOps, DevOps, and AI platform engineering; Design and implement Infrastructure as Code and automation patterns; Implement platform-level security controls; Build platform observability across models and agents.

Seniority

Senior, hands-on IC

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