AWS Devops Engineer

Astir IT Solutions, Inc.

Jersey City (NJ)

Hybrid

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

Astir IT Solutions, Inc. in Jersey City, NJ is seeking an experienced AWS DevOps Engineer to design and manage scalable cloud infrastructure for AI/ML workloads.

The role focuses on building SageMaker environments for training and deployment, automating with Terraform and CloudFormation, and ensuring security and cost optimization.

This hybrid position requires 10+ years of hands-on experience and offers collaboration with DevOps, Data Science, and ML teams to keep production workloads reliable.

Qualifications

  • 10+ years of experience in AWS DevOps or equivalent.
  • Experience with Amazon SageMaker is required.
  • Strong IaC and cloud security focus.
  • Hybrid work location in Jersey City, NJ is expected.

Responsibilities

  • Design and manage AWS cloud infrastructure supporting AI/ML workloads.
  • Build and manage SageMaker environments for model training, deployment, and lifecycle management.
  • Automate infrastructure using Terraform/CloudFormation and ensure security/compliance.
  • Optimize performance, scalability, and cost of AI/ML cloud environments.
  • Collaborate with DevOps, Data Science, and ML teams to support production workloads.

Skills

AWS
SageMaker
Terraform
CloudFormation
IaC
Security & Compliance
AI/ML workloads

Tools

Terraform
CloudFormation

Job description

AWS Devops Engineer – Jersey City, NJ(Only w2)
Location: Jersey City, NJ – Hybrid (3 Days Onsite/Only Locals/ F2F Interview)
Minimum 10+ Years of Experience required.
Job Description:
  • Design and manage AWS cloud infrastructure supporting AI/ML workloads.
  • Build and manage Amazon Sage Maker environments for model training, deployment, and lifecycle management.
  • Automate infrastructure using Terraform/CloudFormation and follow security and compliance standards.
  • Optimize performance, scalability, and cost of AI/ML cloud environments.
  • Collaborate with DevOps, Data Science, and ML teams to support production workloads.
Required

AWS, SageMaker, Terraform/CloudFormation, Cloud Infrastructure, IaC, Security/Compliance, AI/ML workloads.

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