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Experience: 10+ Years, Visa: H1B & TN1 only, PP Number is Mandatory

Hi,

My name is Shubham Chauhan and I’m a Sr. Technical Recruiter at Diverse Lynx. We provide IT Consulting Services to our customers’ immediate and long-term resource needs.

Position: Google Kubernetes Architect (GKA)

Location: Phoenix, AZ (Onsite)

Duration: Contract

Skills:

·         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.

Job Description:

·         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.