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.