AWS Specialist

This is a remote position.

Overview

We are seeking an AWS Specialist to design implement and support cloud-based solutions that power AI-driven applications data platforms and client-facing systems. This role will focus on building and optimizing solutions within Amazon Web Services (AWS) while supporting integrations with Azure Tableau Power BI and DealCloud CRM.

This is a hands-on technical role ideal for someone with deep AWS experience and a strong understanding of cloud infrastructure data platforms and modern application architectures.

Key Responsibilities

• Design deploy and manage AWS-based infrastructure and services
  
• Build and support environments for AI/ML workloads data pipelines and analytics platforms
  
• Implement and maintain scalable secure and highly available cloud solutions
  
• Support integration between AWS services and external systems including:
  
  • Azure environments
    
  • BI tools (Tableau Power BI)
    
  • CRM platforms (DealCloud)
    
• Develop and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation
  
• Monitor system performance and optimize for cost scalability and reliability
  
• Implement security best practices including IAM encryption and network controls
  
• Support CI/CD pipelines and DevOps processes for deployment automation
  
• Troubleshoot and resolve issues across cloud infrastructure and applications
  
• Collaborate with engineering data and architecture teams to ensure alignment with best practices
  

Requirements

Required Qualifications

• 47 years of experience working with AWS cloud services
  
• Strong hands-on experience with core AWS services such as:
  • EC2 S3 RDS
    
  • Lambda API Gateway
    
  • VPC IAM
    
• Experience supporting data platforms ETL/ELT pipelines or analytics workloads
  
• Experience with infrastructure as code (Terraform CloudFormation or similar)
  
• Familiarity with CI/CD tools and DevOps practices
  
• Strong understanding of cloud networking security and architecture principles
  
• Experience troubleshooting and supporting production cloud environments
  

Key Traits for Success

• Strong technical problem-solving skills
  
• Ability to work independently and as part of a team
  
• Proactive mindset focused on optimization and improvement
  
• Adaptability in a fast-paced AI-driven environment
  
• Strong collaboration across engineering and data teams