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.