Cloud Infrastructure Engineer

Bloomfield, NJ, US • Posted 2 days ago • Updated 1 day ago
Contract Independent
Contract W2
No Travel Required
On-site
$55 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • Generative Artificial Intelligence (AI)
  • Terraform

Summary

We’re Hiring: Senior Cloud Infrastructure Engineer (AI/ML Focus)

Are you an AWS expert who thrives at the intersection of Infrastructure as Code and Artificial Intelligence? We are looking for a heavy-hitter to join our team in Bloomfield, USA to lead the charge in building robust, automated environments for next-gen AI model deployment.


The Role

As a Cloud Infrastructure Engineer, you won’t just be "managing" a cloud; you’ll be architecting the backbone of our AI/ML operations. You will take full ownership of AWS setups, automate everything via Terraform, and ensure our AI models are deployed with high availability and security.

What You’ll Do

  • AWS Architecture: Build and administer sophisticated AWS environments from the ground up.

  • AI/ML Deployment: Bridge the gap between Data Science and Production by deploying models via SageMaker, Bedrock, or containerized inference.

  • Infrastructure as Code (IaC): Write clean, modular Terraform scripts to manage state and remote backends.

  • Workflow Orchestration: Implement end-to-end CI/CD pipelines and microservices workflows.

  • Network & Security: Harden our infrastructure using PrivateLink, VPC endpoints, and advanced IAM/KMS strategies.


Who You Are

  • The Veteran: You have 8–12+ years of hands-on experience in Cloud Engineering or AWS Administration.

  • The Architect: You have a deep understanding of:

    • Networking: VPC, subnets, NACL, Routing, and Security Groups.

    • Compute: Expert-level knowledge of EC2, ECS/EKS, ECR, and Auto-scaling.

    • Operations: Mastery of CloudWatch and CloudTrail for deep-dive troubleshooting.

  • The Automator: You don''t do things twice; you write a Terraform module for it.

  • The AI Enthusiast: You understand the unique infrastructure requirements of SageMaker endpoints and large-scale inference.

  • The Communicator: You can explain complex architectural decisions and execute them independently.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10430747
  • Position Id: 8961620
  • Posted 2 days ago
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