AWS Cloud Consultant (Data & AI Infrastructure)

Job Title: Senior AWS Cloud Consultant (Data & AI Infrastructure) Location: Remote (Must support EST/CST time zones) Experience: 8–10+ Years Key Responsibilities • Serve as a senior AWS Cloud Consultant providing both advisory and hands-on support for enterprise cloud environments. • Assess existing AWS architectures and recommend improvements for scalability, security, governance, and cost optimization. • Design and implement enterprise-grade AWS solutions supporting data platforms and AI/ML workloads. • Lead production-level implementations across AWS services including networking, compute, storage, and containerization (ECS, Fargate, EKS). • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform and Ansible. • Automate workflows and infrastructure using Python, Bash, and AWS CLI. • Establish and optimize CI/CD pipelines using Git-based repositories and tools such as Jenkins. • Ensure governance, observability, compliance, and monitoring across AWS environments. • Support infrastructure setup and optimization for AI/ML services including AWS SageMaker and exposure to AWS Bedrock. • Collaborate with cross-functional teams including Data Engineering, Security, and Application teams. • Conduct architecture reviews and participate in stakeholder discussions and solution planning. Required Skills & Qualifications • 8–10+ years of overall IT experience with at least 5+ years in AWS Cloud consulting/administration roles. • Strong hands-on expertise in AWS core services including VPC, Subnets, NACLs, Security Groups, EC2, S3, IAM, ELB, CloudWatch, CloudTrail, and container services (EKS/ECS/Fargate). • Proven experience working in production-grade AWS environments, especially supporting data platforms and cloud-native applications. • Experience with Infrastructure as Code (Terraform/Ansible) and scripting (Python/Bash). • Hands-on experience with CI/CD pipelines and DevOps practices. • Exposure to AWS AI/ML ecosystem, specifically SageMaker and foundational knowledge of AWS Bedrock. • Experience with enterprise data platforms such as Snowflake is a plus. • Strong understanding of cloud security, governance, and cost optimization best practices. • At least one AWS certification is required. • Excellent communication and stakeholder management skills. • Ability to work in overlapping EST/CST time zones. Preferred Qualifications • Experience in cloud modernization and large-scale enterprise transformations. • Exposure to data engineering workflows and AI-driven architectures. • Ability to lead discussions, workshops, and solution design sessions with stakeholders. Key Requirements • Strong AWS administration expertise across foundational services. • Experience supporting or setting up infrastructure for Data & AI workloads. • Senior-level resource capable of handling end-to-end AWS environments independently.