Cloud Architect-AI

Overview

• We are looking for 10+ years of experience in AI Cloud Architect + developer who can design, develop, and deploy cloud-based solutions for our clients.
  
  
• You will be responsible for creating scalable, secure, and cost-effective cloud architectures that meet the business and technical requirements of the projects.
  
  
• You will also be involved in coding, testing, debugging, and troubleshooting cloud applications using various cloud services and tools.
  
  
• You will work closely with other developers, architects, and project managers to deliver high-quality cloud solutions that meet the client's expectations and deadlines.
  
  

Responsibilities

• Design and develop cloud architectures and applications using AWS/ Azure/Google Cloud, or other cloud platforms.
  
  
• Implement best practices and standards for cloud development, security, performance, and reliability.
  
  
• Integrate cloud solutions with existing systems and applications using APIs, microservices, and other methods.
  
  
• Optimize cloud resources and costs using automation, monitoring, and analytics tools.
  
  
• Document and communicate cloud architectures and applications using diagrams, reports, and presentations.
  
  
• Research and evaluate new cloud technologies and trends to improve the existing cloud solutions and create new opportunities.
  
  

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
  
  
• At least 5-10 years of experience in cloud architecture and development using AWS/Azure/Google Cloud, or other cloud platforms.
  
  
• Experience in AI/ML services offered by GCP, Azure, and AWS .
  
  
• Proficient in one or more programming languages such as Python, Java, C#, Node.js, etc.
  
  
• Knowledge of cloud services and tools such as EC2, S3, Lambda, CloudFormation, Azure Functions, App Service, Storage, Google Compute Engine, Cloud Storage, Cloud Functions, etc.
  
  
• Experience in cloud security, performance, and reliability concepts and techniques.
  
  
• Experience in cloud integration, migration, and deployment using DevOps tools and methodologies.
  
  
• Strong understanding of cloud security, networking, storage, and database services.
  
  
• Proficiency in cloud architecture frameworks and best practices.
  
  
• Strong knowledge of containerization (Docker, Kubernetes ) and serverless computing.
  
  
• Expertise in automation tools like Terraform, Ansible, CloudFormation , etc.
  
  
• Familiarity with DevOps practices and tools such as Jenkins, GitLab CI, or Azure DevOps.
  
  
• Excellent communication, collaboration, and problem-solving skills.
  
  
• Certification in AWS, Azure, Google Cloud, or other cloud platforms is a plus.
  
  
• Experience in designing disaster recovery and business continuity plans for cloud environments.