280 Cloud Architect jobs in Hyderabad

Job Description: GCP Principal Consultant /ARCHITECT

Location: Hyderabad (Work from Office)

Experience: 15+ Years

Employment Type: Full-time

About the Role

We are looking for a highly experienced GCP Principal Consultant ARCHITECT to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale.

Key Responsibilities

• Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP).
• Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines.
• Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes.
• Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer.
• Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals.
• Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud).
• Enable DevOps and CI/CD pipelines with tools like Jenkins, GitLab, Cloud Build.
• Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops.

Requirements

• 20+ years in IT with strong leadership in cloud consulting, especially GCP.
• Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred).
• Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles.
• Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS/IPS), and monitoring.
• Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail.
• Strong communication skills and the ability to work with global stakeholders.
• Preferred experience with AWS, Azure, or multi-cloud environments.
• Experience with AI/ML platforms (e.g., Vertex AI, BigQuery ML) is a plus.

Nice to Have

• Experience in setting up Cloud Centers of Excellence (CCoE).
• Knowledge of ITIL or project management frameworks.
• Exposure to client onboarding, pre-sales, and stakeholder demos.

Job Description: GCP Principal Consultant /ARCHITECT

Location: Hyderabad (Work from Office)

Experience: 15+ Years

Employment Type: Full-time

About the Role

We are looking for a highly experienced GCP Principal Consultant ARCHITECT to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale.

Key Responsibilities

• Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP).
• Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines.
• Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes.
• Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer.
• Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals.
• Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud).
• Enable DevOps and CI/CD pipelines with tools like Jenkins, GitLab, Cloud Build.
• Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops.

Requirements

• 20+ years in IT with strong leadership in cloud consulting, especially GCP.
• Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred).
• Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles.
• Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS/IPS), and monitoring.
• Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail.
• Strong communication skills and the ability to work with global stakeholders.
• Preferred experience with AWS, Azure, or multi-cloud environments.
• Experience with AI/ML platforms (e.g., Vertex AI, BigQuery ML) is a plus.

Nice to Have

• Experience in setting up Cloud Centers of Excellence (CCoE).
• Knowledge of ITIL or project management frameworks.
• Exposure to client onboarding, pre-sales, and stakeholder demos.

Job Description: GCP Principal Consultant /ARCHITECT

Location: Hyderabad (Work from Office)

Experience: 15+ Years

Employment Type: Full-time

About the Role

We are looking for a highly experienced GCP Principal Consultant ARCHITECT to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale.

Key Responsibilities

• Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP).
• Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines.
• Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes.
• Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer.
• Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals.
• Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud).
• Enable DevOps and CI/CD pipelines with tools like Jenkins, GitLab, Cloud Build.
• Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops.

Requirements

• 20+ years in IT with strong leadership in cloud consulting, especially GCP.
• Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred).
• Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles.
• Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS/IPS), and monitoring.
• Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail.
• Strong communication skills and the ability to work with global stakeholders.
• Preferred experience with AWS, Azure, or multi-cloud environments.
• Experience with AI/ML platforms (e.G., Vertex AI, BigQuery ML) is a plus.

Nice to Have

• Experience in setting up Cloud Centers of Excellence (CCoE).
• Knowledge of ITIL or project management frameworks.
• Exposure to client onboarding, pre-sales, and stakeholder demos.

We at Saxon AI are seeking a skilled Cloud Solutions Architect with expertise in Azure to design, implement, and optimize cloud solutions for our clients. The role will focus on leading migration projects from On-premises, AWS, and GCP to Azure. The ideal candidate will possess strong technical expertise in Azure services, security frameworks, and cloud migration strategies, alongside experience in working closely with clients to ensure the successful deployment of complex cloud infrastructures.

Job Title: Cloud Solutions Architect – Azure Focus

Key Responsibilities:

• Cloud Architecture & Design:
• Design and implement secure, scalable, and cost-effective cloud solutions primarily on Azure, with an understanding of AWS and GCP for hybrid and multi-cloud environments.
• Cloud Migration:
• Lead end-to-end migration projects, including moving workloads, applications, and data from AWS, GCP, and On-premises environments to Azure, ensuring minimal downtime and business continuity.
• Presales & Client Engagement:
• Collaborate with sales teams during the presales phase to assess client requirements, create tailored cloud solutions, and present technical proposals to clients.
• Security & Compliance:
• Design and implement security frameworks on Azure, ensuring compliance with industry standards
• Landing Zones & Infrastructure as Code:
• Implement Azure Landing Zones, ensuring governance, security, and scalability. Utilize Infrastructure as Code (IaC) tools like Terraform or ARM templates for repeatable deployments.
• Post-Migration Support:
• Provide ongoing support after migrations to optimize performance, security, and cost efficiency in Azure environments.

Required Skills & Experience:

• 8+ years of experience in cloud architecture with a strong focus on Azure.
• Proven experience in cloud migration projects (On-premises, AWS, GCP to Azure).
• Expertise in designing and implementing Azure-based solutions (e.g., VMs, AKS, App Services, Active Directory).
• Solid understanding of cloud security practices, including identity and access management (IAM), encryption, and network security.
• Familiarity with Infrastructure as Code (e.g., Terraform, ARM templates, Azure Bicep).
• Experience with cloud cost optimization and management tools (e.g., Azure Cost Management).
• Certifications: Azure Solutions Architect Expert (AZ-305) preferred.

Desired Skills:

• Experience with AWS and GCP platforms, including integration with Azure for hybrid and multi-cloud strategies.
• Strong client-facing skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

Job Summary:

We are looking for an experienced GCP Cloud Architect with expertise in networking, security, and AI platforms to design and implement secure, scalable Google Cloud environments. This role involves creating GCP landing zones, private access architectures, and collaboration with AI and security teams for enterprise-scale workloads.

Job Description:

• Design and implement GCP landing zones, Shared VPCs, subnets, Cloud NAT, DNS, and Private Google Access.

• Implement Private Service Connect endpoints for Vertex AI, BigQuery, and other Google APIs.

• Collaborate with security teams on VPC Service Controls, encryption key projects, and compliance.

• Document network architectures for hybrid and on-premise access via VPN/Interconnect and PSC.

• Deliver scalable private access patterns for enterprise workloads.

• Implement Infrastructure as Code (IaC) using Terraform for organizational and network factories.

• Work with AI teams on integrating platforms like Google Gemini, OpenAI APIs, Vertex AI Agent Builder, and Model Armor.

Mandatory Skills: VPC Service Controls, Private Service Connect, Shared VPC, Cloud DNS, Cloud NAT, Private Google Access, Terraform, IAM

Required Skills: Vertex AI, Vertex AI Agent Builder (ADK), Model Armor, Google Gemini, BigQuery, OpenAI APIs, Cloud Logging, Cloud Monitoring

Hiring for a USA based multinational Company (MNC)

We are seeking an experienced and visionary Cloud Architect to design, implement, and manage scalable cloud infrastructure solutions. The ideal candidate will be responsible for creating secure, efficient, and cost-effective cloud systems that align with the company's business objectives. You will work closely with development, operations, and security teams to drive cloud adoption, migration, and optimization strategies across multiple platforms.

• Design and implement cloud architecture solutions using platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Develop and execute cloud strategies, migration plans, and deployment processes.
• Ensure cloud environments are secure, scalable, and aligned with best practices.
• Collaborate with engineering and DevOps teams to optimize application performance and infrastructure automation.
• Design and manage hybrid or multi-cloud environments when needed.
• Oversee cost management, monitoring, and performance optimization of cloud resources.
• Establish policies for governance, compliance, and data security.
• Stay updated with emerging cloud technologies and recommend improvements for architecture scalability and reliability.
• Troubleshoot and resolve complex cloud infrastructure issues.
• Proven experience as a Cloud Architect, Cloud Engineer, or similar technical role.
• Strong hands-on experience with AWS, Azure, or GCP cloud services.
• Expertise in cloud infrastructure design, networking, and security best practices.
• Proficiency in IaC (Infrastructure as Code) tools like Terraform, AWS CloudFormation, or Ansible.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Experience with CI/CD pipelines, DevOps principles, and automation tools.
• Excellent problem-solving, communication, and leadership skills.
• Relevant cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
• Experience in cloud cost optimization and FinOps practices.
• Knowledge of microservices architecture and serverless computing.
• Experience with disaster recovery planning, data backup, and cloud security compliance frameworks.

Overview:

Seeking a highly experienced Cloud Architect to design and oversee robust, scalable, and secure

cloud solutions for enterprise environments in oil & gas and other regulated industries (energy,

finance, government).

Key Responsibilities:

• Architect end-to-end cloud solutions (public, private, hybrid) with a focus on reliability, security,
• compliance, and scalability.
• Lead migration and modernization projects of mission-critical applications.
• Define cloud governance, access management, and security best practices.
• Ensure high availability, disaster recovery, and business continuity strategies.
• Enable and operationalize AI/ML workloads—deploying, scaling, and maintaining data pipelines
• and model inferencing on the cloud.
• Collaborate with stakeholders to align cloud strategy with organizational goals.

Core Technical & AI/ML Skills:

• Deep knowledge of at least one leading cloud platform (AWS, Azure, or Google Cloud Platform).
• Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, Google AI
• Platform), enabling secure integration and operationalization of models.
• Infrastructure as Code (Terraform, CloudFormation, ARM) and AI-powered IaC generation tools.
• Cloud security (IAM, encryption, compliance frameworks), including governance for AI/ML
• pipelines.
• Application modernization (containers, Kubernetes, serverless architectures).
• CI/CD, cloud automation, and AI-powered scripting/plugins (e.g., GitHub Copilot).
• Enterprise networking concepts (VPC, VPN, hybrid connectivity).
• Monitoring, observability, and cost optimization.

Soft Skills:

• Excellent communication with technical and business stakeholders.
• Proven leadership and mentoring of cross-functional teams.
• Strong problem-solving in high-stakes, regulated environments.
• Proactive in evaluating and introducing AI tools for productivity and process improvement.