95 Cloud Architect jobs in Jaipur

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

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.

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.

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.

Designation - Sr. Cloud Architecture

Exp - 7 to 15 Years

Location- Remote (base Location -Pune )

Joining - immediate

Timing - Flexible Timing

The Senior Cloud Architecture Engineer empowers development teams through the introduction, development and/or maintenance of efficient tools, processes and cloud-based infrastructures. The Senior Cloud Architecture Engineer is responsible for designing, building and maintaining the underlying PaaS systems that products and services run on, with a focus on reliability, security and efficiency of engineering teams.

Responsibilities

●Design, build and maintain internal PaaS systems in the cloud, and implement the set-up of geographically redundant and highly available systems

●Work in tandem with other internal engineering teams to identify and implement the most optimal cloud-based solutions for the company.

●Providing support for complex issues to other engineering teams using our internal PaaS systems.

●Participate in an on-call schedule to provide emergency incident support

●Administer cloud environments in accordance with company security guidelines

●Design, build and maintain utility tools and libraries to support services managed by other engineering teams

●Design reliable, interoperable components to support the client's applications with web application architecture

●Design and implement metrics and monitoring systems for full stack visibility and incident response

●Design, maintain and improve cloud deployment tools to keep CI/CD systems operating smoothly

●Educate other engineering teams on the operation of client's cloud systems as well as best practices for reliability and performance in their applications

●Mentor and train teammates on client’s cloud systems

●Research industry trends and make recommendations to department head as needed to help the company excel

●Other job-related duties as assigned

Skills, Experience and Qualifications

● Bachelor’s degree in computer science or engineering preferred

●4 years of professional experience developing web-based applications, Ruby on Rails preferred

●Certification as an AWS Solutions Architect, Cloud Security Certification, and/or other cloud-related certification preferred

●Extensive experience with SOA applications and cloud-based services, preferably AWS

●Extensive experience working with Linux/UNIX and Docker containerized environments

●Experience working with Kubernetes and Kafka

●Extensive experience with infrastructure as code tools such as Chef, Ansible, Terraform and preferably Cloud Formation

●Extensive knowledge of web services, API, REST and RPC

●Strong awareness of networking and internet protocols, including TCP/IP, DNS, SMTP, HTTP and distributed networks

●Extensive database experience, including knowledge of SQL and NoSQ L, and relational data stores such as Postgres

●Extensive experience with open-source technology, software development and system engineering

●Excellent problem-solving skills and the ability to proactively solve issues

●Experience with open-source technology, software development and system engineering

●Excellent communication and organizational skills,

●Proven ability to complete tasks and meet deadlines

●Ability to be flexible with working in tandem with a team of engineers or alone, as required

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

Role Summary:

We are seeking a highly skilled Senior Developer or Cloud Architect to support our client in assessing application cloud readiness and driving hands-on migration to Google Cloud Platform (GCP) . The ideal candidate will have deep technical expertise in cloud architecture, modernization strategies, and GCP services.

Key Responsibilities:

• Assess existing applications for cloud suitability and readiness.
• Recommend appropriate migration strategies: Rehost, Replatform, Refactor .
• Design and implement secure, scalable, and resilient solutions on GCP.
• Provide technical leadership and guidance on GCP services and architecture.
• Optimize cloud usage for performance and cost efficiency.
• Collaborate with cross-functional teams including DevOps, Security, and Application Owners.
• Document migration plans, architecture decisions, and best practices.

Required Skills & Qualifications:

• Proven hands-on experience with GCP services (e.g., Compute Engine, Cloud Functions, Cloud Run, GKE, BigQuery, Cloud Storage).
• Strong understanding of cloud architecture , application modernization, and microservices.
• Experience with cloud migration tools (e.g., Velostrata, Migrate for Compute Engine, Transfer Appliance).
• Proficiency in one or more programming languages (e.g., Python, Java, Go).
• Familiarity with CI/CD pipelines , Infrastructure as Code (Terraform, Deployment Manager).
• Knowledge of security best practices and compliance in cloud environments.
• Excellent problem-solving and communication skills.

Primary Skills :

Hands on experience in GCP services, Experience with cloud migration tools

Knowledge of security best practices