ABOUT US

Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

QUALIFICATIONS AND EXPERIENCE

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
• 10+ years’ experience in DevOps, Platform Engineering, or Cloud Engineering roles
• Strong hands-on experience with CI/CD pipelines and automation (GitHub Actions, Azure DevOps)
• Solid cloud engineering experience with Azure and/or AWS
• Familiarity with Snowflake administration, access control, and integration into pipelines
• Proven experience in setting up complete CI/CD platforms for Snowflake. Azure and AWS, including automated build, test, and deployment workflows
• Practical experience with authentication and identity management concepts, including SAML, OAuth, and SSO integrations with Azure Active Directory and other applications
• Knowledge of AI/ML workflows, MLOps practices, and model deployment
• Strong background in authentication, security, and compliance practices
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Excellent problem-solving, communication, and collaboration skills.

• Design, implement, and maintain automated CI/CD pipelines for AI platforms and use cases
• Build scalable CI/CD platforms across Snowflake, Azure, and AWS with Infrastructure as Code (Terraform)
• Embed automated testing, security scanning, and DevSecOps practices into delivery workflows
• Continuously optimise release processes to improve speed, reliability, and compliance
• Support Fortescue’s AI Platform to enable efficient model training, deployment, and operations
• Integrate AI/ML frameworks (Azure ML, SageMaker, OpenAI APIs) into automated pipelines
• Deliver MLOps/LLMOps workflows for model packaging, serving, monitoring, and lifecycle management
• Manage containerised workloads and orchestration with Docker and Kubernetes
• Implement secure authentication, IAM, SAML, OAuth, and SSO with Azure AD
• Set up observability pipelines (Grafana, Prometheus, Loki) for monitoring, alerting, and platform reliability.