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# Security Consultant

- **Company:** NON-HUMAN LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, DevOps, Federated Identity Management, Identity and Access Management, Key Management, Role-Based Access Control, Azure Active Directory, Google Cloud, Okta, Cyberark, Software Security, Kubernetes, Hashicorp, SailPoint
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/94280aed-b6e5-46bb-a3db-c4aec3ee951d

## About the Role

8-15+ years of experience in Identity & Access Management (IAM).

Strong expertise in:

o Service Account & Machine Identity Governance

o Non-Human Identity (NHI) Security

o Privileged Access Management (PAM) & Secrets Management

o Cloud IAM & Identity Federation

Hands-on experience with (altleast 2 of the mentioned tools):

o PAM: CyberArk, HashiCorp Vault

o IGA: SailPoint, Saviynt, Microsoft Entra ID, Okta

Strong understanding of:

o Authentication, Authorization, RBAC/ABAC Models

o Azure, AWS, Google Cloud Platform, Kubernetes, and DevOps Ecosystems

Preferred experience in:

o Workload Identity Security

o API Security & Token Governance

o AI & Agentic Identity Security Models

o Healthcare/HIPAA-regulated environments

## Description

Conduct discovery and assessment of service accounts, managed identities, service principals, application identities, API credentials, certificates, and secrets.

Establish ownership, lifecycle management, governance, and certification processes for Non-Human Identities.

Identify orphaned identities, excessive privileges, credential risks, secret sprawl, and governance gaps.

Evaluate and recommend least-privilege access models, RBAC/ABAC controls, and privileged access governance practices.

Assess secrets management, certificate lifecycle management, and credential rotation processes.

Review cloud identity architectures and workload identity security across Azure, AWS, and Google Cloud Platform environments.

Support governance requirements for AI agents, machine identities, API security, and token-based access models.

Develop assessment findings, risk reports, remediation recommendations, and executive-level presentations.


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