Senior Kubernetes / GCP Platform Engineer (GKE)

Job Description

Job Description

Job Title: Senior Kubernetes / GCP Platform Engineer (GKE)
Location: Scottsdale, AZ (Hybrid)
Employment Type: Contract (W2 through ZipStaff — No C2C or 1099)
Duration: 12 months, with likely extension

About the Opportunity:

ZipStaff is seeking a Senior Kubernetes / GCP Platform Engineer to support production platform, automation, and observability work at a major healthcare organization.

You will operate GKE, Infrastructure as Code, CI/CD, and Prometheus/Grafana in a hybrid Scottsdale team—with on-call production triage and a clear AIOps / ML-platform overlay (model lifecycle, monitoring, AI-driven alerting).

What You’ll Do:

• Design, operate, and support Kubernetes on GCP (GKE).
• Build and maintain IaC with Terraform, Helm, and GitHub Actions.
• Automate platform work with Python, Ansible, and Node.js.
• Run Prometheus and Grafana for production observability.
• Handle incident management, on-call, and production triage.
• Own CI/CD pipelines and platform automation.
• Apply AI/ML and AIOps practices (model lifecycle, monitoring, AI-driven alerting).
• Support Linux systems and network fundamentals on a large distributed / microservices footprint.

Required Qualifications:

• 7+ years of platform, SRE, or cloud engineering experience.
• Strong Kubernetes and GCP (GKE).
• Strong Terraform, Helm, and GitHub Actions.
• Proficiency in Python, Ansible, and Node.js.
• Strong Prometheus and Grafana.
• Solid Linux and networking fundamentals.
• Incident management, on-call, and production triage.
• Hands-on CI/CD and automation.
• Working understanding of AI/ML concepts and AIOps (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.
• Certified Kubernetes Administrator (CKA).
• Java / J2EE / Spring Boot.
• MLOps or operating ML/AI platforms and pipelines.
• AIOps tools, anomaly detection, or predictive analytics.
• Large-scale distributed systems and microservices.
• GPU workloads or ML infrastructure on GCP.
• Kubeflow, Vertex AI, or ML pipelines.
• AI-driven automation in monitoring and incident response.

Benefits:

• Healthcare insurance (employee-only).
• Dental insurance.
• Vision insurance.
• 401(k).
• Paid time off.

About ZipStaff

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

To apply, submit your resume highlighting GKE, Terraform, Helm, GitHub Actions, Prometheus/Grafana, and on-call production support.