Google Cloud Platform + Kubernetes Engineer-W2- hybrid -Scottsdale, AZ

Hybrid in Scottsdale, AZ, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Spring Framework
  • Machine Learning Operations (ML Ops)
  • Kubernetes
  • Machine Learning (ML)
  • Incident Management
  • Java
  • Google Cloud Platform
  • J2EE
  • Linux
  • Good Clinical Practice
  • Google Cloud
  • Grafana
  • Continuous Integration
  • GPU
  • GitHub
  • Computer Networking
  • Continuous Delivery
  • Ansible
  • Artificial Intelligence
  • Python
  • Terraform
  • Vertex
  • Microservices
  • Node.js
  • Predictive Analytics

Summary

Required Qualifications · Strong experience with Kubernetes and Google Cloud Platform (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 Google Cloud Platform · Knowledge of Kubeflow, Vertex AI, or ML pipelines · Experien
Years of Experience:    14.00 Years of Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10221428
  • Position Id: 61945-1
  • Posted 7 hours ago
Contact the job poster
RN

Reshmi Nair

Recruiter @ Tektree Systems Inc.

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