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&aposs 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&aposs 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.