10-12 years of experience in enterprise architecture with hybrid cloud deployments and on-premise-to-cloud migrations.
3-4 years of hands-on experience architecting cloud solutions, preferably on Google Cloud Platform.
GCP certification such as Professional Cloud Architect or Professional Data Engineer.
Hands-on programming experience and familiarity with CI/CD pipelines and DevOps tools (Git, Jenkins, Terraform) plus knowledge of GCP services (GKE, App Engine, Compute Engine, Anthos, Cloud Run, Storage, Pub/Sub, Networking, Security).
Requirements:
Architect, design, and implement highly distributed global cloud-based systems with emphasis on network infrastructure, security, data, or application development.
Lead hybrid cloud deployments and on-premises-to-cloud migration roadmaps.
Design and migrate apps/databases to the cloud or re-architect existing applications to 12-factor/cloud-native/microservices architecture.
Leverage Google Cloud Platform services such as GKE, App Engine, Compute Engine, Anthos, Cloud Run, Storage, Pub/Sub, Networking, and Security to deliver solutions.
Job description
Position :- Cloud GCP Architect Location :- remote
Skills
Probability and Statistics
Experience building, architecting, designing, and implementing highly-distributed global cloud-based systems, and experience in network infrastructure, security, data, or application development.
10 to 12 years of experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps.
Minimum 3-4 years of experience architecting solutions on cloud (preferably GCP)
Strong experience building new apps on cloud (cloud native), migrating apps/DB to cloud or re-architecting existing apps to 12 factor / cloud-native / micro-services architecture
Exposure to Google Cloud Platform services such as Google Kubernetes Engine, App engine, compute engine, Anthos, Cloud run, storage, pub/sub, networking, security etc.
Should be certified as GCP professional cloud architect or Data engineer
Hands-on working knowledge of one or more programming languages.
Hands-on knowledge on CI/CD, Cloud Build, Container registry, artefact registry DevOps principles and tools (GIT, Jenkins, Terraform etc.)
Knowledge of technology solutions and an understanding of large-scale computing solutions and the enterprise technology buying and evaluation process.
