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Azure Security Architect

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Onsite

Azure Security Architect

ERM Placement Services

Azure Security Architect

Skills

AIComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


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.

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