Position: Cloud Architect (AWS)
Company: GlobalLogic
Category: DevOps
Experience required: 5y
English level: upper

We are looking for an AWS cloud architect to help the client with finishing their ML environment migration to AWS SageMaker Studio from on-premise. You will be expected to provide expertise to ensure that environment setup is done according to best practices and provide guidance on possible optimizations.

Requirements:
Solid knowledge of AWS services (Solutions Architect Associate certification is preferable)
Good knowledge of network and security best practices
Ability to work in multi-account environments
Experience with setting up the SageMaker ML platform
Experience with services in AWS serverless stack
Experience with AWS native CI/CD services
Knowledge of AWS governance services such as Organizations, IAM, SSO, Cost Management services
Experience with IaC tools such as Terraform or AWS CDK

Responsibilities:
Collaborate with client to understand their current machine learning development environment setup 
Provide guidance and best practices to client on how to effectively and securely setup SageMaker Studio domain
Design, implement and manage AWS infrastructure for the ML environment, including VPCs, subnets, security groups, and other AWS resources
Work with clients to configure AWS IAM roles, policies, and permissions to ensure secure access to AWS resources and data
Identify opportunities for optimization and cost reduction in the AWS infrastructure and SageMaker Studio environments
Create reusable project templates to create the infrastructure for MLOps solution for CI/CD of ML models
Conduct workshops for client on how to use SageMaker Studio features effectively