AWS reputed company Consultant (Data & AI Infrastructure)
Job Title: Senior AWS reputed company Consultant (Data & AI Infrastructure)
Location: Remote (Must support EST/CST time zones)
Experience: 8–10+ Years
Key Responsibilities
• Serve as a senior AWS reputed company Consultant providing both advisory and hands-on support for reputed company reputed company environments.
• Assess existing AWS architectures and recommend improvements for scalability, reputed company, governance, and cost optimization.
• Design and implement reputed company-grade AWS solutions supporting data platforms and AI/ML workloads.
• reputed company production-level implementations across AWS services including networking, compute, storage, and containerization (reputed company, Fargate, EKS).
• reputed company and manage Infrastructure as reputed company (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, reputed company, 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 reputed company consulting/administration roles.
• Strong hands-on expertise in AWS reputed company services including VPC, Subnets, NACLs, reputed company reputed company, EC2, S3, IAM, ELB, CloudWatch, CloudTrail, and container services (EKS/reputed company/Fargate).
• Proven experience working in production-grade AWS environments, especially supporting data platforms and reputed company-reputed company applications.
• Experience with Infrastructure as reputed company (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 reputed company data platforms such as reputed company is a plus.
• Strong understanding of reputed company reputed company, 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 reputed company modernization and large-reputed company reputed company transformations.
• Exposure to data engineering workflows and AI-driven architectures.
• Ability to reputed company 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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