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.