Senior Gen AI Cloud Engineer

Job Title : Senior Gen AI Cloud Engineer Work Location :McLean, VA Duration : Long Term Cliff W2 Interview Process : VIDEO & Face to Face Must Have Qualifications: The manager is looking for an infrastructure engineer who has experience enabling GenAI solutions in AWS. Candidates must have hands-on experience with AWS GenAI services (Bedrock, Q, Sagemaker, etc.), and AWS networking and IAM. Must have 5+years of infrastructure experience and 1-2 years of hands on GenAI enablement. Nice to have skills include CFT, EKS, GCP, Gemini, Microsoft Azure, and OpenAI. This role is focused on enabling and supporting GenAI capabilities. Very strong experience with AWS Gen AI Services - Bedrock, Q, Sagemaker AWS Networking Cloud formation Templates design and development Job Description - Cloud Infrastructure Engineer: 8+ years of Knowledge & Hands-on experience in designing and supporting AWS platform infrastructure solutions. In depth understanding of AWS Networking - PrivateLink, Security Group, Route53, VPC, VPCe, etc. Knowledge of authentication, authorization of services via SCP, KMS, Policies and Roles. Hands-on Experience in CloudFormation Templates design, development, deployment and automation with CI/CD pipelines. Requirements: Minimum 10+ years of related industry experience in an enterprise environment on cloud platform. Demonstrable experience with CFT/Python/Shell Scripts EKS Jenkins, Git (BitBucket) and Artifactory ServiceNow Jira, Confluence Hand-on experience with design, implementation, integration, and operational support of Cloud-based applications at platform level. Excellent verbal and written communication skills. Self-motivated, driven, and creative individual Experience with the following are differentiators: - AWS Bedrock, Azure Platform, Azure OpenAI Education Bachelor's Degree in Computer Science, Information Technology or equivalent work experience(required)