Jobs · Engineering

Amazon Certified Cloud Solutions Architect

The AES Group · United States · 1 wk ago
RemoteRemoteEngineeringContract

About the role

We are looking for an Amazon Certified Cloud Solutions Architect with deep, hands-on experience in containerization technologies to design, implement, and scale modern cloud-native solutions on AWS. This role is ideal for architects who enjoy building and experimenting, delivering proofs of concept (POCs), and translating ideas into scalable, production-ready architectures. You will work across a variety of environments, including innovation initiatives, startup customers, and cloud modernization programs.

Key Responsibilities

  • Architect and deploy cloud-native solutions on AWS
  • Design and implement containerized workloads using:
    • Docker
    • Kubernetes (Amazon EKS)
    • Amazon ECS / AWS Fargate
  • Build and deliver POCs, pilots, and MVPs with rapid turnaround
  • Design microservices-based architectures
  • Implement CI/CD pipelines for containerized applications
  • Collaborate with engineering, DevOps, and product teams
  • Ensure solutions meet security, scalability, and performance best practices
  • Document architectures, patterns, and operational guidelines
  • Advise customers on cloud strategy, cost optimization, and best practices

Required Qualifications

  • AWS Certified Solutions Architect Professional - Required
  • 5+ years of experience in cloud architecture or advanced cloud engineering
  • Strong hands-on experience with containerization and orchestration
  • Proven experience deploying workloads on AWS
  • Solid understanding of networking, IAM, security, and monitoring in AWS
  • Experience with Infrastructure as Code (Terraform, CloudFormation)
  • Excellent communication and stakeholder engagement skills

Preferred / Nice-to-Have Skills

  • Experience with Amazon EKS in production environments
  • Knowledge of service meshes, observability, and logging stacks
  • Experience supporting startup or innovation teams
  • Exposure to AI/ML or GenAI workloads running in containers
  • Familiarity with GitOps and modern DevOps practices

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