> Markdown version of [/jobs/ext/3533276-senior-gcp-security-engineer-in-mundelein](https://www.wearedevelopers.com/jobs/ext/3533276-senior-gcp-security-engineer-in-mundelein). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior GCP Security Engineer in Mundelein - **Company:** Energy Jobline - **Location:** Mundelein, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cloud Computing Security, Continuous Integration, Identity and Access Management, Software Deployment, Google Cloud, Amazon Virtual Private Cloud (VPC), Kubernetes, Infrastructure Automation Frameworks, Terraform - **Published:** October 2, 2026 - **Apply:** https://www.energyjobline.com/job/senior-gcp-security-engineer-mundelein-31826707 ## About the Role * 5+ years of cloud security experience with significant recent GCP depth. \n * Strong hands-on experience implementing security controls within Google Cloud. \n * Production-level Terraform experience, including reusable modules and infrastructure automation. \n * Strong Kubernetes and GKE security experience. \n * Deep knowledge of GCP IAM, service accounts, Workload , and workload access. \n * Experience with multiple GCP security technologies such as SCC, VPC Service Controls, Cloud Armor, KMS, Secret Manager, and DLP. \n * Experience incorporating security controls into modern CI/CD environments. \n * Practical understanding of AI / ML security, ideally involving Vertex AI or comparable enterprise GenAI platforms. \n * Ability to work directly with engineering teams and remain personally hands-on. ## Description This is a hands-on engineering position for someone who can move between architecture and implementation. You will design cloud security guardrails, automate controls through Terraform and CI/CD, secure Kubernetes workloads and cloud identities, and work closely with engineering teams deploying applications and AI workloads across GCP.