Google Kubernetes Architect

Google Kubernetes Engine (GKE); GCP; 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

Strong knowledge of searching logs for troubleshooting and anomaly detection

Implement comprehensive monitoring and logging solutions with GCP 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 GCP operations using scripting languages like Python or Bash and GCP SDKs or APIs.

Setting up and administering databases in GCP, 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 GCP 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 GCP services like App Engine, Cloud Functions, and Cloud Run