Azure Cloud Infrastructure & DevOps Engineer

Cloud Analytics Technologies, LLC; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Jersey City, NJ, is seeking a seasoned Azure-focused engineer to manage and optimize cloud infrastructure. You will maintain CI/CD pipelines, provision Azure resources with Terraform, and execute deployment runbooks to ensure stable, scalable operations.

Ideal candidates will have 5–8 years in Azure environments, strong scripting (Python), and familiarity with internal DevOps systems such as Jet/Jewels.

Qualifications

• 5–8 years of experience with Azure cloud infrastructure and Terraform.
• Hands-on experience managing CI/CD pipelines in enterprise environments.
• Strong knowledge of Azure services (compute, networking, storage, IAM).
• Ability to interpret and execute operational runbooks independently.
• Familiarity with internal DevOps systems such as Jet and Jewels.
• Solid scripting skills in Python or similar languages.

Responsibilities

• Manage and support CI/CD pipelines across Azure environments.
• Use Terraform to provision, configure, and maintain Azure infrastructure.
• Execute deployment runbooks and adjust infrastructure as required.
• Work with internal deployment tools (e.g., Jet and Jewels) to manage releases.
• Administer core Azure services: compute, networking, storage, and identity/IAM.
• Support Azure messaging systems such as Event Grid, Event Hubs, and Service Bus.
• Collaborate with cross-functional teams to ensure deployment readiness and smooth operations.

Skills

Azure

Terraform

CI/CD pipelines

Python

Runbooks

Jet and Jewels

Tools

Jet

Jewels

Azure DevOps

Job description

Cloud Analytics Technologies, LLC in Jersey City, NJ, is seeking a seasoned Azure-focused engineer to manage and optimize cloud infrastructure. You will maintain CI/CD pipelines, provision Azure resources with Terraform, and execute deployment runbooks to ensure stable, scalable operations.

Ideal candidates will have 5–8 years in Azure environments, strong scripting (Python), and familiarity with internal DevOps systems such as Jet/Jewels.