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Cloud Application Architect

Dubai, Dubai, United Arab Emirates
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Cloud Application Architect - CREQ194051
Description


Roles and Responsibilities:
Set up Secure Cloud Foundation and landing zone in AWS for Gen AI and ML projects
Setup Network connectivity between on-prem and AWS (Direct Connect or VPN).
Establish Secure network connectivity with Azure for Data migration to AWS.
Host and run Workshop with customers to understand requirements and advice on landing zone, Account and OU structure.
Should have Azure knowledge to understand, architect to design and build hybrid cloud and multi-cloud as the customer already has Azure landing zone and workloads running in Azure.
Design and Implement DevOps tools, ML OPS tools, AI OPS tools, LLMOps, DataOps tools in AWS.
Co ordinate with Gen AI and ML teams to design and deploy the necessary AWS services securely (Amazon Kendra, Amazon Sagemaker, Amazon Textract, EC2, Lambda, Amazon EKS, Amazon Aurora, AWS DMS, Amazon RDS, AWS Codebuild, AWS CodeCommit, AWS CodeDeploy, Amazon Cloudwatch, AWS Config, AWS Systems Manager, AWS Control tower, AWS Organisation, AWS Data Sync, AWS Transit Gateway, Amazon Route 53, Amazon CloudFront, Amazon VPC, Amazon API Gateway, Amazon Cognito, Amazon GuardDuty, Service control policy, Amazon Inspector, Amazon Macie, AWS Certificate Manager, AWS Directory service, AWS Firewall Manager, AWS IAM, AWS KMS, AWS Security Hub, AWS Secret Manager, AWS Shield, AWS Directory Service, AWS IAM Identity center, AWS WAF, Amazon Detective, AWS Network Firewall, Amazon S3, Datalake in AWS).
Qualification:
15+ years of IT experience of which 8+ years of experience in AWS and Azure.
Experienced in design and implement of landing zone, secured cloud foundation in AWS as per well architected framework.
Preferred to have AWS Solution Architect Professional certified.
Expertise with AWS Control tower and landing zone implementation
Experience of working in a BFS customer is preferred.
Familiarity with Gen AI and ML tools in AWS
Experience in IaC (CloudFormation or TerraForm)
Experience in the AWS Services listed in Roles and responsibilities.

Primary Location
Dubai, Dubai, United Arab Emirates
Job Type
Experienced
Primary Skills
AWS Well-Architected Framework
Years of Experience
15
Qualification


Roles and Responsibilities:
Set up Secure Cloud Foundation and landing zone in AWS for Gen AI and ML projects
Setup Network connectivity between on-prem and AWS (Direct Connect or VPN).
Establish Secure network connectivity with Azure for Data migration to AWS.
Host and run Workshop with customers to understand requirements and advice on landing zone, Account and OU structure.
Should have Azure knowledge to understand, architect to design and build hybrid cloud and multi-cloud as the customer already has Azure landing zone and workloads running in Azure.
Design and Implement DevOps tools, ML OPS tools, AI OPS tools, LLMOps, DataOps tools in AWS.
Co ordinate with Gen AI and ML teams to design and deploy the necessary AWS services securely (Amazon Kendra, Amazon Sagemaker, Amazon Textract, EC2, Lambda, Amazon EKS, Amazon Aurora, AWS DMS, Amazon RDS, AWS Codebuild, AWS CodeCommit, AWS CodeDeploy, Amazon Cloudwatch, AWS Config, AWS Systems Manager, AWS Control tower, AWS Organisation, AWS Data Sync, AWS Transit Gateway, Amazon Route 53, Amazon CloudFront, Amazon VPC, Amazon API Gateway, Amazon Cognito, Amazon GuardDuty, Service control policy, Amazon Inspector, Amazon Macie, AWS Certificate Manager, AWS Directory service, AWS Firewall Manager, AWS IAM, AWS KMS, AWS Security Hub, AWS Secret Manager, AWS Shield, AWS Directory Service, AWS IAM Identity center, AWS WAF, Amazon Detective, AWS Network Firewall, Amazon S3, Datalake in AWS).
Qualification:
15+ years of IT experience of which 8+ years of experience in AWS and Azure.
Experienced in design and implement of landing zone, secured cloud foundation in AWS as per well architected framework.
Preferred to have AWS Solution Architect Professional certified.
Expertise with AWS Control tower and landing zone implementation
Experience of working in a BFS customer is preferred.
Familiarity with Gen AI and ML tools in AWS
Experience in IaC (CloudFormation or TerraForm)
Experience in the AWS Services listed in Roles and responsibilities.

Travel
No
Job Posting
28/08/2024

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