Databricks Platform Engineer working on AWS ecosystem design, build, and optimization. Responsible for implementing scalable pipeline solutions across data platforms.
About the role
- Design and build secure, reusable AWS infrastructure and observability for AI/ML at MYOB; embed FinOps and enable teams to adopt platform services
Responsibilities
- Design and build the cloud foundations that empower teams across the organisation to innovate with AI—safely, at scale, and with speed
- 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
- Support development of innovative products, insights, and efficiencies to make advanced AI capabilities accessible, sustainable, and enterprise-ready
Requirements
- 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
Benefits
- Enjoy a flexible, hybrid workplace that brings balance to how you work, with centrally located offices for in-person celebrations and social events
- Set up your home office with a little financial help
- Corporate discounts and vouchers from top retailers
- Partnership with Sonder to support team wellbeing
- In-house training and programs, LinkedIn Learning, conferences and study assistance
- Access to a variety of leave options including up to an additional four weeks of purchased leave, generous parental leave, domestic violence leave, transgender leave, community leave, study leave
- Join communities built around ‘Wellness’, ‘Belonging’ and the ‘Planet’ to make meaningful contributions
- Equal opportunity employer and Circle Back Initiative Employer committed to responding to every applicant
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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