Solid IAM knowledge across Azure Entra ID, AWS IAM, workload identity, federation, RBAC/ABAC, least privilege, service principals and managed identities/cyberark.
This position will support a hybrid, multi-cloud environment covering Azure, AWS, on-premises platforms, Kubernetes, CI/CD pipelines, and enterprise security controls. The successful candidate must understand both secrets management and IAM end to end, including identities, roles, policies, access models, workload identity, privileged access, service accounts, federation, and audit controls.
The role will involve working closely with development teams in India, UK and Dalian.

Additional support outside India business hours is also required (including working in weekend).

The key responsibilities of this role are:
Assess current secrets management and IAM practices across Azure, AWS, on-premises, Kubernetes, CI/CD, applications, databases, APIs, and service accounts.
Define target-state architecture for secrets management, IAM integration, workload identity, privileged access, credential rotation, audit, and governance.




Create enterprise standards for secrets storage, access, rotation, ownership, naming, tagging, expiry, exception handling, and decommissioning.
Define when to use centralized secrets platforms versus cloud-native tools such as Azure Key Vault and AWS Secrets Manager.
Design IAM access models using Azure Entra ID, AWS IAM, roles, policies, groups, service principals, managed identities, OIDC federation, and least-privilege access.
Support onboarding and migration of application teams from insecure or inconsistent secrets and IAM practices.
Integrate secrets management with IAM, PAM, CI/CD pipelines, Kubernetes, databases, APIs, legacy applications, logging, monitoring, and SIEM.
Help establish operating model components such as ownership, support processes, governance, exception management, control monitoring, and reporting.
Produce practical documentation, reference architectures, onboard

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