GCP + Kubernetes Engineer
Posted Updated
Our client, an IT Services and Consulting company, is looking for a GCP + Kubernetes Engineer for their Scottsdale, AZ/Hybrid location.
Requirements:
- 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)
- 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
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Skills
- AI
- Analytics
- Anomaly Detection
- Ansible
- Automation
- CI/CD
- Cloud
- Distributed Systems
- GCP
- GitHub
- GitHub Actions
- GKE
- Grafana
- Helm
- Infrastructure as Code
- J2EE
- Java
- Kubeflow
- Kubernetes
- Linux
- Machine Learning
- Microservices
- MLOps
- Networking
- Node.js
- Observability
- Predictive Analytics
- Prometheus
- Python
- Spring
- Terraform
- Vertex AI