How to Configure Amazon EKS GCP Secret Manager for Secure, Repeatable Access

You can almost hear the sigh when a dev team realizes their Kubernetes workloads need secrets from two clouds. Amazon EKS is humming along in AWS, but your credentials live inside Google Cloud Secret Manager. The goal is simple: keep those secrets safe, synced, and automatic. The execution? Usually, a puzzle made of IAM, RBAC, and wishful thinking.

Amazon EKS gives you a managed Kubernetes control plane that plays nice with AWS IAM, spot instances, and everything north of the Lambda line. GCP Secret Manager handles encryption, rotation, and access control for sensitive keys without spreading them through YAML files like glitter. Combining the two lets you run workloads on EKS while securely fetching credentials stored in GCP, all under an identity model you actually trust.

At its core, this Amazon EKS GCP Secret Manager integration binds identities in AWS to permissions in GCP. Pods running in EKS assume AWS IAM roles via Kubernetes service account tokens. Those AWS roles, in turn, carry temporary credentials that can exchange identity through OIDC to authenticate against GCP’s APIs. No static JSON keys. No long-lived tokens. Just federated access stitched together by well-defined trust boundaries.

The basic flow looks like this:
A pod requests a secret. The workload identity provider issues a short-lived token signed by AWS. Google validates the token using the federated OIDC endpoint, then allows access only to the specific secret names authorized for that identity. The pod retrieves the value, caches it briefly, and moves on. Everything expires automatically.

If you hit permission errors, check that your trust relationship in GCP’s IAM policy maps the AWS role correctly, and ensure your Kubernetes service account annotations reference the role’s ARN. Also, rotate secrets on GCP’s side frequently. Short lifespans reduce replay risk and keep compliance officers calm.

Key benefits:

• Eliminate long-lived cross-cloud credentials entirely.
• Centralize rotation and access logs within GCP.
• Maintain AWS-native RBAC in EKS without duplicating policy logic.
• Improve auditability under SOC 2 or ISO 27001 controls.
• Reduce burden on developers requesting credentials manually.

Developers feel the difference fast. Fewer manual key uploads. Faster onboarding for new services. When your cluster pulls configuration safely without Slack handoffs, your team’s velocity jumps. Less “who has the latest .env?” and more actual shipping.

Platforms like hoop.dev turn those cross-cloud access rules into guardrails that enforce policy automatically. Instead of stitching federation yourself, you define intent once and let it handle the OIDC, token scope, and audit logic every time a pod requests a secret.

How do I connect EKS workloads to GCP Secret Manager?
Use AWS IAM roles for service accounts with an OIDC identity provider linked to your GCP project. Grant roles/secretmanager.secretAccessor only to the mapped identity, and fetch secrets through GCP’s API client inside the pod. This keeps the flow fully automated and traceable.

Quick answer for the impatient:
You can access GCP Secret Manager from Amazon EKS by establishing OIDC-based federation using AWS IAM roles for Kubernetes service accounts, granting minimal GCP secret access, and avoiding static credentials entirely.

AI copilots and platform agents can build on this trust layer safely. When AI tools request temporary credentials for runtime tasks, they inherit existing IAM boundaries instead of creating new risk surfaces. Compliance automation becomes a side effect of well-designed identity flow.

Federation done right feels invisible. That’s exactly the point.

See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.