Cloud Architect – Cloud & AI Infrastructure

SAAP Technologies; Chennai; Presencial; INR 3.500.000 - 5.200.000; Jornada completa

Descripción de la vacante

SAAP Technologies is seeking an experienced Cloud Architect to lead enterprise cloud and AI infrastructure strategy across Azure, AWS, and Google Cloud. The role focuses on cloud modernization, datacentre migration, secure AI platform architecture, and infrastructure optimization for global manufacturing and industrial environments.

The candidate will design landing zones, implement IaC with Terraform and Bicep, and drive cost optimization and security governance.

Formación

• Strong experience in enterprise cloud architecture and Azure.
• Knowledge of AWS and Google Cloud environments.
• Experience with Generative AI, RAG, AI agents, and AI infrastructure.
• Expertise in cloud networking, security, Kubernetes, and hybrid infrastructure.
• Hands-on experience with Terraform, Bicep, automation, and DevSecOps.
• Understanding of FinOps, disaster recovery, and cloud governance.
• Strong leadership, communication, and stakeholder management skills.

Responsabilidades

• Design and manage Azure-primary multi-cloud architecture across Azure, AWS, and Google Cloud.
• Lead cloud migration, datacentre consolidation, and hybrid connectivity initiatives.
• Architect secure AI platforms for Generative AI, RAG, AI agents, machine learning, and GPU workloads.
• Design cloud landing zones, networking, identity, security, and governance frameworks.
• Implement AI infrastructure using Azure OpenAI, Microsoft Foundry, AKS, and container technologies.
• Drive cloud security, Zero Trust, responsible AI, disaster recovery, and compliance standards.
• Implement Infrastructure as Code using Terraform, Bicep, CI/CD, and DevSecOps practices.
• Optimize cloud costs, capacity, performance, and GPU utilization through FinOps.
• Lead and mentor cloud and infrastructure engineers.
• Collaborate with Security, Data, Applications, OT/IT, and business stakeholders.

Conocimientos

Azure

AWS

Google Cloud

Generative AI

Cloud networking

Kubernetes

Terraform

Bicep

DevSecOps

FinOps

Leadership

Descripción del empleo

Company Description

SAAP Technologies delivers secure, scalable, and innovative solutions across AI, Salesforce, product development, and IT staffing. The company serves clients in the U.S., UK, and India, providing technology services that support modern digital transformation needs. SAAP Technologies focuses on combining advanced cloud and AI capabilities with robust product engineering to help organizations modernize their platforms. Team members collaborate with global clients and multidisciplinary technical teams, working on projects that emphasize performance, security, and reliability.

Job Summary

We are looking for an experienced Cloud Architect to lead enterprise cloud and AI infrastructure strategy across Azure, AWS, and Google Cloud. The role focuses on cloud modernization, datacentre migration, secure AI platform architecture, and infrastructure optimization across global manufacturing and industrial environments.

Key Responsibilities

• Design and manage Azure-primary multi-cloud architecture across Azure, AWS, and Google Cloud.
• Lead cloud migration, datacentre consolidation, and hybrid connectivity initiatives.
• Architect secure AI platforms for Generative AI, RAG, AI agents, machine learning, and GPU workloads.
• Design cloud landing zones, networking, identity, security, and governance frameworks.
• Implement AI infrastructure using Azure OpenAI, Microsoft Foundry, AKS, and container technologies.
• Drive cloud security, Zero Trust, responsible AI, disaster recovery, and compliance standards.
• Implement Infrastructure as Code using Terraform, Bicep, CI/CD, and DevSecOps practices.
• Optimize cloud costs, capacity, performance, and GPU utilization through FinOps.
• Lead and mentor cloud and infrastructure engineers.
• Collaborate with Security, Data, Applications, OT/IT, and business stakeholders.

Required Skills

• Strong experience in enterprise cloud architecture and Azure.
• Knowledge of AWS and Google Cloud environments.
• Experience with Generative AI, RAG, AI agents, and AI infrastructure.
• Expertise in cloud networking, security, Kubernetes, and hybrid infrastructure.
• Hands-on experience with Terraform, Bicep, automation, and DevSecOps.
• Understanding of FinOps, disaster recovery, and cloud governance.
• Strong leadership, communication, and stakeholder management skills.