Senior Cloud Architect - Utrecht - 21 Months

Global Enterprise Partners
Utrecht, Netherlands
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Utrecht, Netherlands

Tech stack

API
Artificial Intelligence
Data analysis
Google App Engines
Azure
BigTable
Google BigQuery
Cloud Computing
Cloud Database
Cloud Engineering
Cloud Storage
Software Design Patterns
DevOps
Data Flow Control
Virtual Private Networks (VPN)
Machine Learning
SQL Azure
TensorFlow
Azure
Virtual Machines
Network Switches
Google Cloud Platform
Load Balancing
Cloud Platform System
Amazon Web Services (AWS)
Kubernetes
Cosmos DB
Azure
Azure

Job description

Are you a cloud visionary who can design enterprise-scale platforms and shape multi-cloud strategy across GCP and Azure? Our client is seeking a Senior Cloud Architect to drive cloud transformation, define architecture standards, and build the next generation of scalable, secure, and innovative cloud environments., As a Senior Cloud Architect, you will play a pivotal role in defining and executing the organization's cloud platform strategy. You will architect end-to-end solutions across Google Cloud Platform (GCP) and Microsoft Azure, ensuring scalability, governance, security, and operational excellence.

You will work closely with engineering, data, and security teams to design cloud platforms, landing zones, reusable architectures, and enterprise-grade solutions that enable efficient cloud adoption., Cloud Platform Architecture & Strategy

  • Define enterprise cloud architecture strategy across GCP and Azure, including multi-cloud governance frameworks and platform standards.
  • Design scalable landing zones, account structures, subscription models, and organizational hierarchies.
  • Architect advanced cloud networking solutions including VPC designs, hybrid connectivity, transit gateways, and global load balancing.
  • Implement cloud cost optimization strategies leveraging committed use discounts, reserved instances, and FinOps methodologies.
  • Develop cloud reference architectures, design patterns, and reusable templates to support common workload patterns.

Requirements

  • Compute & Containers: Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, App Engine
  • Networking: VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect, Cloud VPN
  • Data & Analytics: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, Bigtable
  • AI / Machine Learning: Vertex AI, AutoML, TensorFlow on GCP, ML APIs
  • DevOps & Reliability: Cloud Build, Artifact Registry, Cloud Deploy, Cloud Operations Suite

Microsoft Azure

  • Compute & Containers: Azure Virtual Machines, Azure Kubernetes Service (AKS), Container Apps, App Service
  • Networking: Azure Virtual Network, Application Gateway, Front Door, ExpressRoute, VPN Gateway
  • Data & Analytics: Azure Synapse Analytics, Data Factory, Event Hubs, Azure SQL, Cosmos DB
  • AI / Machine Learning: Azure Machine Learning, Cognitive Services

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