Kubernetes & GCP Developer
Acumenz Consulting · Scottsdale, Arizona, United States
FULL TIMEpermanent
Job Description
Job Title - Kubernetes & GCP DeveloperLocation - Scottsdale, Arizona - Hybrid
Want to apply Read all the information about this position below, then hit the apply button.
Need candidates who are ready for an final face-to-face interview in Richardson, TX or Scottsdale, AZ locations.
Job Description:Strong experience with Kubernetes and GCP (GKE)Strong experience in IaC (Terraform), Helm, and GitHub ActionsProficiency in Python, Ansible, Node.jsStrong experience with Prometheus and Grafana observability stackSolid understanding of Linux systems and networking fundamentalsExperience in incident management, on-call support, and production triageHands-on experience with automation and CI/CD pipelinesStrong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting)
QualificationsGoogle Cloud Architect CertificationCertified Kubernetes Administrator (CKA)Experience in Java/J2EE, Spring BootExperience supporting or operating ML/AI platforms or pipelines (MLOps)Exposure xzbcwsv to AIOps tools, anomaly detection, or predictive analytics systemsExperience with large-scale distributed systems and microservices architectureExperience with GPU-based workloads or ML infrastructure on GCPKnowledge of Kubeflow, Vertex AI, or ML pipelinesExperience integrating AI-driven automation into monitoring and incident response
Want to apply Read all the information about this position below, then hit the apply button.
Need candidates who are ready for an final face-to-face interview in Richardson, TX or Scottsdale, AZ locations.
Job Description:Strong experience with Kubernetes and GCP (GKE)Strong experience in IaC (Terraform), Helm, and GitHub ActionsProficiency in Python, Ansible, Node.jsStrong experience with Prometheus and Grafana observability stackSolid understanding of Linux systems and networking fundamentalsExperience in incident management, on-call support, and production triageHands-on experience with automation and CI/CD pipelinesStrong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting)
QualificationsGoogle Cloud Architect CertificationCertified Kubernetes Administrator (CKA)Experience in Java/J2EE, Spring BootExperience supporting or operating ML/AI platforms or pipelines (MLOps)Exposure xzbcwsv to AIOps tools, anomaly detection, or predictive analytics systemsExperience with large-scale distributed systems and microservices architectureExperience with GPU-based workloads or ML infrastructure on GCPKnowledge of Kubeflow, Vertex AI, or ML pipelinesExperience integrating AI-driven automation into monitoring and incident response
Details
| Company | Acumenz Consulting |
| Location | Scottsdale, Arizona, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |