AI Cloud Engineer

AI Cloud Engineer Role

Individuals should have multicloud experience with building scalable platform components across AWS Azure or GCP. The solutions would be used to enable and scale developers DevOps and architects in cloud to use and scale our cloud solutions both securely and natively.

Key areas of responsibility:

1. Design and implement multicloud infrastructure solutions across various cloud platforms including AWS Azure Google Cloud and others.

2. Collaborate with crossfunctional teams to identify design and implement endtoend cloudbased solutions.

3. Develop and implement best practices for cloud platform deployments including building for observability future maintenance and pleasant customer experiences

4. Expectations to "own" all code and features into production including troubleshooting and resolving complex technical issues related to the platform.

5. Expected to dive into the unknown and/or bleeding edge technologies on behalf of research & development; this means embracing technical challenges even when documentation is sparse unknown or out of date.

Qualifications:

Experience with multiple cloud providers building and scaling cloud native toolings

Experience with Cloud RBAC Policies and Cloud services deployments using IaC (e.g. Terraform ARM BiCEP Cloud Formation templates)

Knowledge of GenAI and Machine learning Cloud services and their ecosystem (e.g. Azure ML SageMaker Vertex AI)

Building and deploying Docker containers and orchestrating them with Kubernetes. CKAD certification is preferred or in lieu of a certificatation able to demonstrate significant experience in developing applications on Kubernetes.

Familiarity with with Python based automations and libraries (e.g. FastAPIs)

Familiarity of securing cloud platforms using principles of least privilege RBAC authentication and authorization logging network security and other security domains

Experience designing and engineering REST API solutions with API Gateway integrations

Experience working in SAFe Agile team settings

Familiarity with platform engineering concepts