About this Role: This team is focused on bringing Generative AI applications to Client engineers. To scale production Cloud expertise is needed. You get to impact 1000s of Client engineers in this role.

Typical task breakdown: mplement, maintain and design various AWS and Azure cloud applications and deployments using AWS infrastructure, Azure DevOps. Responsible Interaction with team: Team is working on creating the applications and needs a Cloud expert to help deploy. Work environment: Small, collaborative team that supports 1000s of engineers around the company.

Education & Experience Required:<BR> Years of experience: 2 years Degree requirement: BS Computer Science Do you accept internships as job experience: Yes Open to Master Experience, with 2 years experience Are there past or additional job titles or roles that would provide comparable background to this role: IT Software Engineer 4 Top 3 Skills

AWS managed services such as EC2, RDS, SNS, SQS, FSx, S3. AWS Networking / VPC / Cyber Security Working knowledge of Single page Web Application Additional Technical Skills:

Microsoft Service Fabric / MS SQL End to End experience with Enterprise Application Architecture Azure Virtual Machines, App Services, and Container Instances Azure Kubernetes Service (AKS) for container orchestration Azure Functions and Logic Apps for serverless architecture Azure DevOps for CI/CD pipelines and release management Desired:

Microsoft Service Fabric / MS SQL End to End experience with Enterprise Application Architecture Azure Virtual Machines, App Services, and Container Instances Azure Kubernetes Service (AKS) for container orchestration Azure Functions and Logic Apps for serverless architecture Azure DevOps for CI/CD pipelines and release management Required Soft Skills:

Ability to communicate technical details to engineering teams to support execution. Self Managing / Time management. Desired: Ability to communicate to stakeholders without technical details.