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. Pay: $48 - $50 per hour

Requirements

Must-haves

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
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.
7+ years of platform, SRE, or cloud engineering experience.
Strong Kubernetes and GCP (GKE).
Strong Terraform, Helm, and GitHub Actions.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesgcpci/cdmlaipythonnode.jsjava

Platform: betterteam
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off