Overview
Remote
$70+
Full Time
Accepts corp to corp applications
Able to Provide Sponsorship
Skills
GCP
APIGEE
Job Details
Role : Google Cloud Platform Platform Infra Architect
Location : Remote
Here is the detailed requirements. Please send only strong/ qualified resourcesWe are looking for a Google Cloud Platform Platform Infrastructure Architect that has in depth experience with the following Google Cloud Platform Core Services:
- Compute - Google Compute Engine, Google Kubernetes Engine, App Engine, Cloud Functions
- Storage - Google Cloud Storage, Persistent Disks, Filestore, Cloud Storage for Firebase
- Databases - Cloud SQL, Cloud Spanner, Firestore, Bigtable, Memorystore
- Networking - Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud CDN, Cloud Interconnect
- Big Data - BigQuery, Dataflow, Dataproc, Pub/Sub
- Machine Learning - AI Platform, AutoML, TensorFlow on Google Cloud Platform, Vertex AI
- Identity & Security - Cloud Identity, Cloud IAM, Cloud Security Command Center, Data Loss Prevention API
- Management Tools - Cloud Console, Cloud Monitoring, Cloud Logging, Cloud Deployment Manager
- API Management - Apigee, Cloud Endpoints
- Developer Tools - Cloud Source Repositories, Cloud Build, Cloud Functions
The key is that the resource will be designing/building shared services at the platform level for use by multiple development teams and needs to have in-depth, hands-on experience with the Google Cloud Platform Core Services
- Architects should have hands-on experience and be able to think architecturally and implement solutions. They should not only plan but also execute the solutions. They should be able to design and execute new patterns and platform-level solutions.
- Core Services: List of core services required for the platform, including DNS, firewall, IAM, resource hierarchy structure, and load balancing. Important have a good understanding of these services for the platform-level role.
- Importance of Core Services: a good understanding of these core services for the platform-level role, as they are essential for building and managing the platform effectively.
- Additional Core Services: core services like Google Compute Engine (GCE) and Google Kubernetes Engine (GKE), which are also crucial for the platform
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.