Platform Engineer

Australia·Melbournemid

EngineeringDevops Engineer

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed. At MYOB,

Technical Tools

EngineeringDevops Engineer

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.

At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.

And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business.

This is a high-impact role at the heart of our AI transformation journey. As an AI Platform Engineer, you’ll design and build the cloud foundations that empower teams across the organization to innovate with AI—safely, at scale, and with speed.

Your work will support the development of innovative products, insights, and efficiencies that will impact the future of our business. From embedding FinOps and observability to staying ahead of the latest in AI infrastructure, you’ll play a critical role in making advanced AI capabilities accessible, sustainable, and enterprise-ready.

Responsibilities

~1 min read

→Build secure, reusable AWS infrastructure components to support internal AI and data solution teams.
→Implement platform observability with proactive monitoring and alerting for all AI and ML workloads.
→Embed FinOps practices into platform design to drive cloud cost visibility and optimisation.
→Stay across emerging AI tech and AWS updates to continually enhance platform capabilities.
→Influence internal standards and tooling to reflect high-quality AI infrastructure.
→Provide clear guidance and enablement materials to support team adoption of platform services.

Solid experience in cloud platform engineering, DevOps, data infrastructure, or MLOps roles.
Strong hands-on skills with AWS services like SageMaker, Bedrock, Lambda, S3, IAM, CloudWatch, Step Functions, and API Gateway.
Consistent record applying FinOps practices for cost tracking, tagging, reporting, and optimisation.
Experience deploying and running data and ML workloads in AWS environments.
Skilled in infrastructure-as-code using Terraform, AWS CDK, or CloudFormation.
Experience integrating security, compliance, and governance into cloud-native platforms.
Familiarity with emerging AI technologies such as LLMs, vector databases, and orchestration frameworks.
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.