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
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