Required Skills: PaaS, Google Cloud, Generative Artificial Intelligence, Scalability
Job Description
We are seeking an experienced Google Cloud Platform (GCP) Solution Architect to own the overall cloud solution architecture and technical direction. The ideal candidate will have strong hands-on experience designing cloud-native solutions using GCP-native PaaS and managed services, with expertise in cloud AI capabilities, application integrations, security, scalability, and deployment.
The candidate will provide hands-on technical leadership and guide engineering teams in delivering an initial demo and developing scalable cloud solutions.
Key Responsibilities
- Own the overall Google Cloud Platform solution architecture and technical direction.
- Design cloud-native architectures using appropriate GCP PaaS and managed services.
- Identify opportunities to leverage Google Cloud AI services within solutions.
- Guide engineering teams on GCP architecture, integration, security, scalability, and deployment.
- Recommend GCP-native approaches rather than relying primarily on generic container-based solutions.
- Collaborate with consulting and application teams as frontend and backend requirements evolve.
- Provide hands-on technical leadership to support delivery of the initial demo.
Required Skills
- Strong hands-on experience with Google Cloud Platform (GCP).
- Experience designing solutions using GCP-native PaaS and managed services.
- Strong cloud solution architecture expertise.
- Experience with Google Cloud AI capabilities and services.
- Experience designing integrations between cloud services and applications.
- Ability to provide hands-on technical leadership in fast-moving projects.
- Strong communication and stakeholder collaboration skills.
Preferred / Relevant GCP Technologies
- Vertex AI and Generative AI on Google Cloud
- Cloud Run
- Cloud Functions
- API Gateway and Apigee
- Pub/Sub
- Cloud Storage
- BigQuery
- Cloud SQL and Firestore
- IAM and Service Accounts
- Secret Manager
- Cloud Logging and Cloud Monitoring
- Terraform or equivalent Infrastructure as Code (IaC) tools
Key Expectations
- Define and own the GCP solution architecture.
- Drive cloud-native solution design and technology decisions.
- Identify and integrate suitable GCP AI services.
- Guide engineering teams through architecture and implementation.
- Support the successful delivery of the initial demonstration.