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Google Cloud Platform Architect (Cloud Architect)

Salary undisclosed

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Google Cloud Platform Architect

Hybrid role at Phoenix/AZ : 200% Interview

Locations: Phoenix (Hybrid 3 days in office)

End Client is American Express & CBTS is the vendor

Years of Experience: 11+ years

Skills: GKE, Google Cloud Platform, ETL, Cloud Networking, Machine Learning, Kubernetes, Openshift, Postgres/SQL, Git, Agile Champion, JIRA, Rally, API, Big Data, Python, Firewall, Functional Testing, Kafka

  • Strong knowledge of searching logs for troubleshooting and anomaly detection
  • Implement comprehensive monitoring and logging solutions with Google Cloud Platform Logging and Monitoring
  • Must have strong scripting skills - proficiency in Shell or Python
  • Experience in configuration management and Infrastructure-as-code using Terraform
  • Experience with Git and GitHub, JavaScript, Regular Expressions (RegEx)
  • Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
  • Should have understanding of cloud concepts (Storage /compute/network)
  • Proficient in developing and maintaining technical documentation, runbooks
  • Automating Google Cloud Platform operations using scripting languages like Python or Bash and Google Cloud Platform SDKs or APIs.
  • Setting up and administering databases in Google Cloud Platform, such as Bitable, Cloud SQL, Cloud Spanner,
  • Developing and maintaining CI/CD pipelines for automated code deployment using Google Cloud Build, Source Repositories, and Container Registry.
  • Working with containers and orchestrating them using Google Kubernetes Engine (GKE), including cluster management and deployment strategies.
  • Optimizing Google Cloud Platform costs and resource usage, providing cost estimates and reports, and implementing cost-saving strategies.
  • Collaborating with development teams to architect and support application deployment strategies that leverage Google Cloud Platform services like App Engine, Cloud Functions, and Cloud Run
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.
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