Cloud Architect-AI

3 weeks ago

New Delhi, India HCLTech Full time

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.

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