Kubernetes & GCP Developer

About the role

Support cloud-native infrastructure, automation, observability, and AI-driven operations initiatives.

Requirements

• Strong experience with Kubernetes and Google Kubernetes Engine (GKE)
• Hands-on expertise with Terraform, Helm, and GitHub Actions
• Proficiency in Python, Ansible, and Node.js
• Experience with Prometheus and Grafana monitoring and observability solutions
• Strong understanding of Linux systems and networking fundamentals
• Experience in incident management, production support, and on-call operations
• Hands-on experience building and maintaining CI/CD pipelines
• Understanding of AI/ML concepts, AIOps practices, model monitoring, and AI-driven alerting
• Preferred: Google Cloud Architect Certification
• Preferred: Certified Kubernetes Administrator (CKA)
• Preferred: Experience with Java/J2EE and Spring Boot
• Preferred: Exposure to MLOps, AI/ML platforms, or ML pipeline operations
• Preferred: Experience with Kubeflow, Vertex AI, or ML infrastructure on GCP
• Preferred: Knowledge of AIOps tools, anomaly detection, and predictive analytics
• Preferred: Experience supporting large-scale distributed systems and microservices
• Preferred: Familiarity with GPU-based workloads and AI/ML infrastructure
• Preferred: Experience integrating AI-driven automation into monitoring and incident response processes

Schedule

• Hybrid
• Tenure: 11 months potential to extend

How to apply

• Send profiles by email.

Location

• Scottsdale, Arizona