🛠 Tech Stack

💼 About This Role

You'll design and build secure, reusable AWS infrastructure to support AI and data solution teams. You'll embed FinOps and observability into platform design for cost visibility and proactive monitoring. You'll stay ahead of emerging AI tech to enhance enterprise-ready platform capabilities.

🎯 What You'll Do

• Build secure, reusable AWS infrastructure components for AI and data teams
• Implement platform observability with proactive monitoring and alerting
• Embed FinOps practices into platform design for cloud cost optimisation
• Influence internal standards and tooling for high-quality AI infrastructure

📋 Requirements

• 3-5 years experience in cloud platform engineering, DevOps, or MLOps
• Strong hands-on skills with AWS services like SageMaker, Bedrock, Lambda
• Consistent record applying FinOps practices for cost tracking and optimisation
• Skilled in infrastructure-as-code using Terraform, AWS CDK, or CloudFormation

✨ Nice to Have

• Experience with emerging AI technologies such as LLMs and vector databases
• Bachelor's or Master's degree in Computer Science or related field
• AWS Certified Machine Learning – Specialty certification

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work from Melbourne office
• 💰 Competitive salary and performance bonuses
• 📈 Learning and development opportunities
• 🏥 Health and wellness programs
• 🎉 Employee recognition and social events