REQUIRED QUALIFICATIONS

• Education: Bachelor’s degree in computer science, Information Technology, Cybersecurity, or a related field (or equivalent experience).
• Experience:
  o Minimum of 7+ years of IT experience, with at least 3 years focused on Azure Entra ID.
  o Strong hands-on experience with Terraform for Azure infrastructure automation.
  o Proven experience in implementing IAM solutions for developer environments, including service principals and managed identities.

o Hands-on experience with Azure cloud services (e.g., VMs, VNets, Blob Storage, and Key Vault, Azure Resource Manager, Azure Monitor, Log Analytics, Network Watcher, Resource Diagnostics).

• Technical Skills:

o Expertise in Azure Entra ID configuration, including SSO, MFA, conditional access, and identity governance.
o Strong knowledge of Azure IAM, RBAC, and managed identities for securing cloud resources.
o Proficiency in scripting and automation using PowerShell, Azure CLI, or Python for IAM tasks.
o Familiarity with OAuth 2.0, OpenID Connect, and SAML protocols.

o Understanding of DevOps practices and tools (e.g., Terraform, GitLab) for secure pipeline integration.

• Certifications (Preferred):

o Microsoft Certified: Identity and Access Administrator Associate.
o Microsoft Certified: Azure Security Engineer Associate.
o Other relevant certifications (e.g., CISSP, CISM, or CompTIA Security+).

PREFERRED QUALIFICATIONS

• Experience with hybrid identity environments (e.g., Azure AD Connect for on-premises integration).
• Knowledge of other cloud platforms (e.g., AWS IAM, Google Cloud IAM) for comparative understanding.
  Job Type: Contract
  Pay: $42.00 - $45.00 per hour

Education:

• Bachelor’s (Preferred)

Experience:

• Azure IAM Specialist: 5 years (Preferred)
• Azure Entra ID: 3 years (Preferred)
• Terraform: 5 years (Preferred)
• Implementing IAM solutions for developer environments: 5 years (Preferred)

Ability to Commute:

• Dallas, TX 75215 (Preferred)

Work Location: In perso

Please refer the Job description for details