Google Cloud Platform GKE Engineer

2 days ago


Phoenix, United States Info Dinamica Inc Full time
  • Role / Skills - Google Cloud Platform GKE Engineer / Architect
  • Location Phoenix, AZ
  • Location Options Day 1 Onsite

Skills Required :

Google Kubernetes Engine (GKE); Google Cloud Platform; ETL - Big Data / Data Warehousing; Cloud Networking; Machine Learning; Kubernetes; OpenShift; Postgres / PostgreSQL; Git (GitHub, GitLab, BitBucket, SVN); Agile Champion; JIRA; Rally; API; Big Data; Python; Firewall; Functional Testing; Kafka

Job Description :

  • 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 BigTable, 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


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