Job Description
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.
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