AWS Devops Engineer

Active Alliance

Jersey City (NJ)

Hybrid

USD 150,000 - 210,000

Full time

4 days ago
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Job summary

Active Alliance in Jersey City, NJ is seeking a seasoned AWS DevOps Engineer to design and manage cloud infrastructure for AI/ML workloads. The role is hybrid, located in Jersey City with onsite and remote components as needed, and requires 10+ years of experience.

You will build SageMaker environments, implement IaC using Terraform or CloudFormation, and work with DevOps, data science, and ML teams to keep production systems secure, scalable, and compliant.

Qualifications

  • 10+ years of experience in DevOps or cloud engineering.
  • Strong focus on AWS and AI/ML workloads.
  • Experience with SageMaker and IaC tools.

Responsibilities

  • Design and manage AWS cloud infrastructure for AI/ML workloads.
  • Build and manage SageMaker environments for training and deployment.
  • Automate infrastructure using Terraform/CloudFormation and enforce security standards.
  • Optimize performance, scalability, and cost of cloud environments.
  • Collaborate with DevOps, Data Science, and ML teams for production workloads.

Skills

Cloud security
DevOps collaboration
AI/ML workloads understanding

Tools

AWS
SageMaker
Terraform
CloudFormation
IaC
Security/compliance

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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