Cloud Architect - AI Platform | Azure & AWS

Tata Consultancy Services; Bengaluru; Presencial; INR 2 800 000 - 4 000 000; Tempo integral

Resumo da oferta

Tata Consultancy Services Bengaluru is seeking a Cloud Architect to design and deploy AI solutions on Azure and AWS, building secure, scalable cloud-native architectures that align with enterprise needs.

You will collaborate with cross-functional teams, drive governance and compliance, and produce deployment plans, architecture documents, and technical artifacts. Strong expertise in Kubernetes, Docker, Terraform, and GenAI deployments is essential.

Qualificações

• Cloud Architect with 6-8 years of experience in Azure & AWS.
• Experience in GenAI/LLM/AI Platform deployments.
• Strong knowledge of Kubernetes (AKS/EKS), Docker, Terraform, and DevOps.
• Expertise in cloud security, governance, and solution architecture.
• Experience working with enterprise stakeholders and Agile teams.
• Azure/AWS certifications preferred.

Responsabilidades

• Design and deploy AI solutions on Azure and AWS.
• Develop secure, scalable, and cloud-native architectures.
• Collaborate with cross-functional stakeholders and engineering teams.
• Ensure cloud security, governance, and compliance standards.
• Prepare architecture documents, deployment plans, and technical artifacts.
• Support cloud automation, DevOps, and production readiness activities.
• Identify risks, resolve issues, and drive continuous improvement.

Conhecimentos

Azure

AWS

Kubernetes

Docker

Terraform

DevOps

Cloud security

Governance

Solution architecture

GenAI

Ferramentas

Kubernetes

Docker

Terraform

Descrição da oferta de emprego

Role & responsibilities

• Design and deploy AI solutions on Azure and AWS.
• Develop secure, scalable, and cloud-native architectures.
• Collaborate with cross-functional stakeholders and engineering teams.
• Ensure cloud security, governance, and compliance standards.
• Prepare architecture documents, deployment plans, and technical artifacts.
• Support cloud automation, DevOps, and production readiness activities.
• Identify risks, resolve issues, and drive continuous improvement.

Preferred candidate profile

• Cloud Architect with 6-8 years of experience in Azure & AWS.
• Experience in GenAI/LLM/AI Platform deployments.
• Strong knowledge of Kubernetes (AKS/EKS), Docker, Terraform, and DevOps.
• Expertise in cloud security, governance, and solution architecture.
• Experience working with enterprise stakeholders and Agile teams.
• Azure/AWS certifications preferred