🛠 Tech Stack

💼 About This Role

You'll design and build secure, reusable AWS infrastructure to power AI innovation across the organization. Your work will enable teams to develop AI products at scale while embedding FinOps and observability into every layer. You'll stay ahead of emerging AI technologies to keep our platform enterprise-ready.

🎯 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 cost visibility.
• Influence internal standards and tooling for high-quality AI infrastructure.

📋 Requirements

• Solid experience in cloud platform engineering, DevOps, or MLOps.
• Strong hands-on skills with AWS services like SageMaker, Bedrock, Lambda, S3, IAM, CloudWatch, Step Functions, and API Gateway.
• Experience deploying and running data and ML workloads in AWS environments.
• Skilled in infrastructure-as-code using Terraform, AWS CDK, or CloudFormation.

✨ Nice to Have

• Familiarity with emerging AI technologies such as LLMs and vector databases.
• Bachelor's or Master's degree in Computer Science, Data Science, or Machine Learning.
• Relevant certifications (e.g., AWS Certified Machine Learning – Specialty).

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work from Brisbane office.
• 🧑‍💻 Access to cutting-edge AI tools and cloud platforms.
• 📈 Professional development opportunities and certifications.
• 🏆 High-impact role in AI transformation.
• 💼 Permanent full-time employment with competitive compensation.