Kubernetes​/GCP Engineer

Job Title:

Kubernetes / GCP Engineer

Scottsdale, AZ (Hybrid)

Contract (W2 through Zip Staff)

Zip Staff 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.

• Administer and support Kubernetes platforms on GCP / GKE
  .
• Build and maintain infrastructure as code using Terraform
  , Helm
  , and Git Hub 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.

• Strong hands-on experience with Kubernetes and GCP (GKE).
• Strong experience with Terraform, Helm, and Git Hub 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.

• 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.

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