GCP + Kubernetes Engineer
Scottsdale, AZ
Date Posted:29-Sep-2026
Work Type:Hybrid
Job Number:502126
Job Description
Job title: GCP + Kubernetes Engineer
Role is hybrid based out of Scottsdale, AZ
Years of experience required: 5+ Years
Duration: 6+ Months
Required Qualifications
· Strong experience with Kubernetes and GCP (GKE) · Strong experience in IaC (Terraform), Helm, and GitHub Actions · Proficiency in Python, Ansible, Node.js · Strong experience with Prometheus and Grafana observability stack · Solid understanding of 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)
Preferred Qualifications
· Google Cloud Architect Certification · Certified Kubernetes Administrator (CKA) · Experience in Java/J2EE, Spring Boot · Experience supporting or operating ML/AI platforms or pipelines (MLOps) · Exposure to AIOps tools, anomaly detection, or predictive analytics systems · Experience with large-scale distributed systems and microservices architecture · Experience with GPU-based workloads or ML infrastructure on GCP · Knowledge of Kubeflow, Vertex AI, or ML pipelines ·
Years of Experience: 14.00 Years of Experience
Role is hybrid based out of Scottsdale, AZ
Years of experience required: 5+ Years
Duration: 6+ Months
Required Qualifications
· Strong experience with Kubernetes and GCP (GKE) · Strong experience in IaC (Terraform), Helm, and GitHub Actions · Proficiency in Python, Ansible, Node.js · Strong experience with Prometheus and Grafana observability stack · Solid understanding of 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)
Preferred Qualifications
· Google Cloud Architect Certification · Certified Kubernetes Administrator (CKA) · Experience in Java/J2EE, Spring Boot · Experience supporting or operating ML/AI platforms or pipelines (MLOps) · Exposure to AIOps tools, anomaly detection, or predictive analytics systems · Experience with large-scale distributed systems and microservices architecture · Experience with GPU-based workloads or ML infrastructure on GCP · Knowledge of Kubeflow, Vertex AI, or ML pipelines ·
Years of Experience: 14.00 Years of Experience
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's pay range is $47.01/hr – $50.00/hr.