AWS Cloud DevOps Engineer

FutureTech Consultants LLC; Berkeley Heights (NJ); Hybrid; USD 120,000 - 160,000; Full time

Job summary

FutureTech Consultants LLC in Berkeley Heights, NJ, is seeking an AWS Cloud DevOps Engineer for a long-term contract. The position is hybrid, requiring three days onsite weekly, and focuses on building secure, scalable AWS infrastructure for AI/ML workloads.

You will design and implement infrastructure using CDK/Terraform, CloudFormation, and SageMaker for training, deployment, and lifecycle management, while collaborating with data science and DevOps teams to optimize performance and cost.

Qualifications

• AWS cloud development and IaC experience with CDK/Terraform.
• Design, develop, and implement cloud infrastructure for AWS focusing on AI/ML workloads.
• Build scalable environments with SageMaker for model training, deployment, and lifecycle management.
• Automate provisioning with CloudFormation or Terraform while meeting security/compliance standards.
• Collaborate with data science and DevOps teams to optimize performance and cost of AI/ML pipelines.

Skills

Cloud DevOps

IaC Automation

AWS Cloud

AI/ML Workloads

Tools

AWS CDK

Terraform

CloudFormation

Amazon SageMaker

Job description

Role: AWS Cloud DevOps Engineer

Location: Berkeley Heights, NJ (Hybrid, 3 days onsite in a week)

Duration: Long Term Contract

Mode of Interview: Video Round followed by In-person

Must Have:

• AWS cloud developer for infrastructure provisioning skills and Cloud DevOps background and worked/working experience on CDK/TerraForm.
• Design, develop, and implement cloud infrastructure solutions on AWS with a focus on AI/ML workloads.
• Build and manage scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management.
• Automate infrastructure provisioning using IaC tools (e.g., CloudFormation, Terraform) adhering to security and compliance standards.
• Collaborate with data science and DevOps teams to optimize performance, cost, and scalability of AI/ML pipelines in the cloud.