GCP Architect / Technical Lead

” Own the overall GCP solution architecture and technical direction. “ Design a cloud-native architecture using appropriate GCP PaaS and managed services. “ Identify opportunities to use Google Cloud AI services within the solution. “ Guide the engineering team on GCP architecture, integration, security, scalability, and deployment considerations. “ Recommend GCP-native approaches rather than relying primarily on generic container-based solutions. “ Collaborate with consulting and application teams as the frontend/backend requirements become clearer. “ Provide hands-on technical leadership to help deliver the initial demo.

GCP (Good Clinical Practices), Technical Leadership, GCP (Good Clinical Practices), Technical Leadership, Platform as a Service (PaaS), Cloud Architecture, Artificial Intelligence (AI), Cloud Computing, Consulting, User Interface (UI) Requirements, “ Strong hands-on experience with Google Cloud Platform (GCP). “ Experience designing solutions using GCP-native PaaS / managed services. “ Strong cloud solution architecture experience. “ Experience working with Google Cloud AI capabilities/services. “ Experience designing integrations between cloud services and applications. “ Ability to provide hands-on technical leadership in a fast-moving project. “ Strong communication and stakeholder collaboration skills. Preferred / Relevant GCP Experience Candidates with practical experience across several of the following would be particularly relevant: “ Vertex AI / Generative AI on Google Cloud “ Cloud Run “ Cloud Functions “ API Gateway / Apigee “ Pub/Sub “ Cloud Storage “ BigQuery “ Cloud SQL / Firestore “ IAM and service accounts “ Secret Manager “ Cloud Logging / Cloud Monitoring “ Terraform or equivalent Infrastructure as Code

Role Descriptions: Key Responsibilities Own the overall GCP solution architecture and technical direction. Design a cloud-native architecture using appropriate GCP PaaS and managed services. Identify opportunities to use Google Cloud AI services within the solution. Guide the engineering team on GCP architecture| integration| security| scalability| and deployment considerations. Recommend GCP-native approaches rather than relying primarily on generic container-based solutions. Collaborate with consulting and application teams as the frontend/backend requirements become clearer. Provide hands-on technical leadership to help deliver the initial demo. Required SkillsStrong hands-on experience with Google Cloud Platform (GCP).Experience designing solutions using GCP-native PaaS / managed services .Strong cloud solution architecture experience. Experience working with Google Cloud AI capabilities/services. Experience designing integrations between cloud services and applications. Ability to provide hands-on technical leadership in a fast-moving project. Strong communication and stakeholder collaboration skills. Preferred / Relevant GCP Experience Candidates with practical experience across several of the following would be particularly relevant: Vertex AI / Generative AI on Google Cloud Cloud Run Cloud Functions API Gateway / Apigee Pub/Sub Cloud Storage BigQueryCloud SQL / Fire store IAM and service accounts Secret ManagerCloud Logging / Cloud Monitoring Terraform or equivalent Infrastructure as Code Essential Skills: Key Responsibilities Own the overall GCP solution architecture and technical direction. Design a cloud-native architecture using appropriate GCP PaaS and managed services. Identify opportunities to use Google Cloud AI services within the solution.Guide the engineering team on GCP architecture| integration| security| scalability| and deployment considerations. Recommend GCP-native approaches rather than relying primarily on generic container-based solutions.Collaborate with consulting and application teams as the frontend/backend requirements become clearer.Provide hands-on technical leadership to help deliver the initial demo.Required SkillsStrong hands-on experience with Google Cloud Platform (GCP).Experience designing solutions using GCP-native PaaS / managed services.Strong cloud solution architecture experience.Experience working with Google Cloud AI capabilities/services. Experience designing integrations between cloud services and applications. Ability to provide hands-on technical leadership in a fast-moving project.Strong communication and stakeholder collaboration skills. Preferred / Relevant GCP Experience Candidates with practical experience across several of the following would be particularly relevant: Vertex AI / Generative AI on Google Cloud Cloud RunCloud FunctionsAPI Gateway / ApigeePub/SubCloud StorageBigQueryCloud SQL / FirestoreIAM and service accountsSecret Manager Cloud Logging / Cloud Monitoring Terraform or equivalent Infrastructure as Code Desirable Skills: Keyword: Skills: Digital : Google Cloud~Google Cloud DevOps & Automation Experience Required: 10 & Above