Negotiable
Outside
Remote
USA
Summary: The role is for a Google Cloud Platform Infrastructure Architect with extensive experience in core Google Cloud services. The architect will be responsible for designing and building shared services at the platform level for multiple development teams. The position is remote and requires hands-on experience with various Google Cloud services. The candidate must be able to plan and execute architectural solutions effectively.
Key Responsibilities:
- Design and build shared services at the platform level for multiple development teams.
- Implement solutions and execute new patterns and platform-level solutions.
- Ensure a good understanding of core services such as DNS, firewall, IAM, and load balancing.
- Utilize Google Cloud services including Compute, Storage, Databases, Networking, Big Data, Machine Learning, Identity & Security, Management Tools, API Management, and Developer Tools.
Key Skills:
- In-depth experience with Google Cloud Platform core services.
- Hands-on experience in architectural design and implementation.
- Ability to think architecturally and execute solutions.
- Strong understanding of platform-level services and their importance.
Salary (Rate): £70 hourly
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Hi Damon
Remote is Okay .
Rate to you 70/h2 W2
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