AI Driven Cloud Engineer

6 days ago

Sydney, New South Wales, Australia beBeeAutomation Full time $180,000 - $220,000
Cloud AI Engineer Position

This role involves leveraging artificial intelligence to automate cloud services and environments. A Cloud AI Engineer will be responsible for developing and implementing automation flows that optimize operations, reduce manual intervention, and improve reliability and security across cloud platforms.

The ideal candidate will have a strong understanding of AWS services and expertise in infrastructure-as-code deployment using Terraform or equivalent tools. Experience with RAG solutions on AWS and the ability to integrate AWS Well-Architected Framework checks into automated workflows is also essential.

A key aspect of this role is applying automation to observability and security tooling, such as CloudWatch, IAM, CloudTrail, and Splunk. The candidate should have hands-on experience with AI automation frameworks like LangChain, LangGraph, Kendra, and OpenSearch.

As a Cloud AI Engineer, you will work closely with platform and customer teams to identify opportunities for AI-driven automation that accelerate change and reduce risk.

Key Responsibilities:

  • Develop and implement automation flows using AI and ML technologies
  • Apply infrastructure-as-code deployment using Terraform or equivalent tools
  • Integrate AWS Well-Architected Framework checks into automated workflows
  • Apply automation to observability and security tooling
  • Work with platform and customer teams to identify AI-driven automation opportunities

Requirements:

  • AWS Solution Architect Professional-level expertise
  • In-depth understanding of Amazon Bedrock and other AWS AI/ML services
  • Strong skills in infrastructure-as-code deployment
  • Experience designing and implementing RAG solutions on AWS
  • Familiarity with AWS Well-Architected Framework and ability to integrate its checks into automated workflows
  • Hands-on experience applying automation to observability and security tooling
  • Expertise with AI automation frameworks
  • Advanced programming and scripting skills with AWS SDKs

Benefits:

Our team uses AI and machine learning technologies in our recruitment process, ensuring a fair and unbiased selection process. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications.

Role Context:

The Cloud AI Engineer sits at the intersection of AI and cloud engineering, enabling the intelligent automation of cloud services. This role is not about manual deployments but about creating self-managing, AI-enabled systems that automatically deploy, remediate, and adjust cloud environments.

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