This is a remote position.

AWS Specialist

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
  • 4–7 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