AI Automation Specialist

24 hours ago

Perth, Western Australia beBeeDevOps Full time $175,000 - $225,000
Job Overview:

The DevOps Engineer will play a pivotal role in building and operating AI Platforms and supporting a wide range of AI use cases across the enterprise.

This role combines hands-on expertise with strong cloud and data & AI engineering practices to ensure scalable, secure, and automated delivery of AI services.

The DevOps Engineer will work closely with AI engineers, data scientists, data engineers and Cyber teams to enable rapid, secure, and efficient deployment of AI workloads.

  • 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 AI Platform to enable efficient model training, deployment and operations
  • Integrate AI/ML frameworks 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 for monitoring, alerting and platform reliability

Key skills include 10+ years experience in DevOps, Platform Engineering or Cloud Engineering roles with hands-on experience with CI/CD pipelines and automation, solid cloud engineering experience with Azure and/or AWS, and familiarity with Snowflake administration, access control and integration into pipelines.

A strong background in authentication, security and compliance practices is essential as well as experience with containerization and orchestration. Excellent problem-solving, communication and collaboration skills are also required.

We foster inclusiveness and diversity in our workplace.

Key Responsibilities:
  • 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 AI Platform to enable efficient model training, deployment and operations
  • Integrate AI/ML frameworks 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 for monitoring, alerting and platform reliability

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