Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Sunnyvale, CA, United States
Posted
23 hours ago
EncryptionGoogle CloudKubernetesTerraform
Job Description
Job Title: Cloud Security / Identity & Secrets Engineer
Hiring Mode: Contract -TP
Location: Sunnyvale, CA [ONSITE]
Note: Client is not willing to sponsor any visa.
Job Description:
Key Responsibilities-
Implement identity, secrets, posture, supply-chain, and auditable release controls across Google Cloud platforms and agent delivery workflows.
Skill Requirements-
Hiring Mode: Contract -TP
Location: Sunnyvale, CA [ONSITE]
Note: Client is not willing to sponsor any visa.
| Mandatory Skills: | Cloud Security, Google Kubernetes Engine (GKE) |
Job Description:
Key Responsibilities-
Implement identity, secrets, posture, supply-chain, and auditable release controls across Google Cloud platforms and agent delivery workflows.
Skill Requirements-
- Design enterprise IAM architectures for users, workloads, applications, agents, and delivery pipelines.
- Implement Workload Identity Federation and GKE Workload Identity to eliminate long-lived credentials.
- Develop Secret Manager lifecycle management, including storage, access control, rotation, auditing, and consumption.
- Design Cloud KMS architectures supporting encryption, signing, rotation, and key governance.
- Implement Terraform-based security baselines, organization policies, IAM controls, and compliance guardrails.
- Secure Cloud Build, GitLab, APIs, webhooks, connectors, and service-to-service communication.
- Build software supply-chain security controls, including SBOM generation, scanning, provenance, and attestations.
- Implement Binary Authorization policies enforcing trusted artifact deployment.
- Operationalize Security Command Center and Artifact Analysis for continuous risk visibility.
- Implement GKE security controls covering RBAC, namespaces, workload identity, admission controls, and network security.
- Secure Agentic AI workloads through authorization, tool governance, approval workflows, and audit controls.
- Design enterprise logging, SIEM integrations, evidence collection, compliance reporting, and forensic readiness.
- Implement key, token, certificate, and secret lifecycle governance processes.
- Automate security validation across source code, Terraform, containers, dependencies, and deployment pipelines.
- Release security controls as code with peer review, automated testing, operational validation, and documented exceptions.
- Cloud Security
- Google Kubernetes Engine (GKE)
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