Google Cloud DevOps Architect
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Role: Google Cloud DevOps Architect
Experience: 8+ years
Location: Pan India
Job Summary
Google Cloud Data Architect with strong experience in Designing and Implementing Data Lake, Data Warehouse and Data ingestion and processing pipeline using various Google services. Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse
Must-Have
5+ Years of job-related experience deploying, maintaining and managing Google Cloud infrastructures, Infra and Application deployment pipelines.
Hands-on experience with Terraform and Cloud Deployment Manager.
Deep understanding/strong working experience of CI/CD with Cloud Build, Cloud Deploy, Jenkins, Ansible etc.
Deep understanding/strong experience of Docker, Kubernetes, Terraform, Cloud Deployment Manager
Hands-on experience in Google Cloud (GCP) using Google Kubernetes Engine, Cloud Run, App Engine.
Infrastructure monitoring, logging & alerting with Cloud Logging, Cloud Monitoring, Prometheus/Grafana
Hands-on experience in debugging complex issues.
Hands-on experience at least in one scripting language (Python / PowerShell / Bash etc.)
Expectations from the Role:
Manage the software development process, design and create automated delivery pipelines that assists in building software more efficiently.
You will have extensive knowledge and act as an SME for containerization Deployment
You will have extensive knowledge and experience of IAC (Terraform/Ansible), Config Management (Ansible), CI (Cloud Build, Cloud Deploy), Git and Automation in Bash/PowerShell/Python
You will have extensive knowledge and experience and act as an SME for cloud technologies (GCP) and advocate standards and best practices to be applied.
Work with various teams to design and implement development pipelines with automation at the heart of every design.
Design solutions for Cloud Native Google Cloud, Container based application
Create architecture work plans, delegating activities to constituents and formulating timelines to be met.
Offering advice and guidance to Tech Leads to convert the solution to low level design.
Participate in end-to-end solution reviews & migration strategy meets.
Identify integration points between different applications.
Thanks & Regards
Shubhangi