[Hiring] AWS Specialist @Shyft6

Role Description

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.

• 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

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