Azure Security Architect

ERM Placement Services; Ernakulam; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

ERM Placement Services is seeking an experienced Azure Security Engineer to lead security assessments and manage governance across large Azure environments. The role focuses on implementing secure onboarding, enforcing guardrails, and designing policies for multi-tenant subscriptions.

The ideal candidate will have hands-on Azure security expertise, strong certifications, and a track record of security reviews for SaaS/PaaS workloads within enterprise clouds.

Qualifications

• 5+ years of Microsoft Azure security experience at enterprise scale.
• Hands-on experience with Entra ID, PIM, CA, Azure Sentinel, Logic Apps and Defender for Cloud.
• Experience enforcing security policies across multiple tenants and large subscription environments.
• Experience conducting security reviews of SaaS applications and cloud-native workloads in multi-tenant Azure environments.
• Certifications: AZ-500, AZ-104, CISSP or equivalent cloud security certifications.

Responsibilities

• Lead Cloud Security Assessments using the Agentic AI Platform and provide CloudSec domain inputs for development and augmentation of the platform.
• Design, implement, and enforce security controls & guardrails for onboarding to Azure.
• Design and maintain Azure security policies across tenants and subscriptions
• Conduct cloud security reviews of applications hosted in multiple tenants (Omni AI, CloudStaff).
• Coordinate Azure resource tagging governance across 500+ subscriptions
• Monitor Azure cost governance for Infosec resources and optimize cloud security spend.
• Administer PIM and architect Conditional Access policies across the Azure environment.
• Perform SaaS/PaaS security reviews and compliance monitoring across connected applications and cloud platforms.

Education

BE / BTech / MTech

Tools

Azure Cloud Platform

Entra ID

PIM

Conditional Access

Azure Sentinel

Logic Apps

Defender for Cloud

AI security tooling

Job description

Key Responsibilities:

• Lead Cloud Security Assessments using the Agentic AI Platform and provide CloudSec domain inputs for development and augmentation of the platform.
• Design, implement, and enforce security controls & guardrails for new application and platform onboarding to Azure.
• Design and maintain Azure security policies across tenants and subscriptions
• Conduct cloud security reviews of JPL applications hosted in independent tenants, including Omni AI and CloudStaff
• Coordinate Azure resource tag correction across 500+ subscription owners and maintain tagging governance
• Monitor Azure cost governance for Infosec resources and optimize cloud security spend
• Administer PIM (Privileged Identity Management) and architect Conditional Access policies across the Azure environment.
• Perform SaaS/PaaS security reviews and compliance monitoring across all connected applications and cloud platforms.

Qualification and Work Experience

Qualification: BE / BTech / MTech

Certifications: Microsoft Certified: Azure Security Engineer Associate (AZ-500), Azure Administrator (AZ-104), CISSP, or equivalent cloud security certifications.(Preferred*)

Work experience: Hands-on experience in cloud security architecture, with at least 5 years specifically on Microsoft Azure at enterprise scale.

• Proven experience managing Azure security policy enforcement across multiple tenants and large-scale subscription environments.
• Hands-on experience with Entra ID, PIM, Conditional Access, Azure Sentinel, Logic Apps, and Defender for Cloud.
• Solid understanding of cloud security architecture frameworks, including CIS Azure Benchmarks, NIST CSF, and ISO 27001 controls.
• Experience conducting security reviews of SaaS applications and cloud-native workloads in multi-tenant Azure environments.
• Experience with Agentic AI platforms or contributing security domain inputs to AI-driven security tooling is a strong advantage.
• Preferred: Experience in Azure cost governance, resource tagging strategy, and Infosec spend optimisation at scale.