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Job Title: Kubernetes / GCP Engineer

Location: Scottsdale, AZ (Hybrid)

Employment Type: Contract (W2 through ZipStaff)

About the Opportunity:

ZipStaff is seeking a Kubernetes / GCP Engineer to support cloud-native platform operations for a major healthcare organization in Scottsdale, AZ.

This hybrid role focuses on GKE, infrastructure-as-code, observability, production support, and applying AIOps practices to improve monitoring and incident response. The initial assignment is approximately one year, with potential extension.

What You'll Do:

Administer and support Kubernetes platforms on GCP / GKE.
Build and maintain infrastructure as code using Terraform, Helm, and GitHub Actions.
Develop automation using Python, Ansible, and Node.js.
Implement and operate observability with Prometheus and Grafana.
Support incident management, on-call, and production triage.
Build and improve CI/CD pipelines and operational automation.
Apply AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting) to platform operations.
Troubleshoot Linux systems, networking, and production platform issues.

Required Qualifications:

Strong hands-on experience with Kubernetes and GCP (GKE).
Strong experience with Terraform, Helm, and GitHub Actions.
Proficiency in Python, Ansible, and Node.js.
Strong experience with the Prometheus and Grafana observability stack.
Solid Linux systems and networking fundamentals.
Experience in incident management, on-call support, and production triage.
Hands-on experience with automation and CI/CD pipelines.
Strong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting).
Ability to work hybrid in Scottsdale, AZ.
Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:

Google Cloud Architect Certification.
Certified Kubernetes Administrator (CKA).
Experience with Java / J2EE / Spring Boot.
Experience supporting or operating ML/AI platforms or pipelines (MLOps).
Exposure to AIOps tools, anomaly detection, or predictive analytics.
Experience with large-scale distributed systems and microservices.
Experience with GPU-based workloads or ML infrastructure on GCP.
Knowledge of Kubeflow, Vertex AI, or ML pipelines.
Experience integrating AI-driven automation into monitoring and incident response.

About ZipStaff:

ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.

To apply, please submit your resume highlighting your GKE, Terraform/Helm, Python automation, and Prometheus/Grafana experience.

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