Cloud Solution Specialist, Ai/ml
5 months ago
**Job Summary**:
**Job Type**
**Seniority**
**Years of Experience**
Information not provided
**Tech Stacks**
Amazon S3 AWS Terraform Docker Google Cloud CI IAM ELK EC2 Azure Grafana Prometheus Kubernetes
**_Job Responsibilities:_**
- Involved in designing, implementing, and optimizing cloud infrastructure to support the CoE’s AI/ML initiatives.
- Design and deploy scalable, secure, and reliable cloud infrastructure to support AI/ML workloads.
- Collaborate with cross-functional teams to understand requirements and implement solutions that align with business objectives.
- Automate infrastructure provisioning, configuration, and management using infrastructure-as-code tools.
- Implement and maintain monitoring, logging, and alerting solutions to ensure the health and availability of cloud services.
- Evaluate emerging cloud technologies and provide recommendations for continuous improvement.
- Troubleshoot and resolve issues related to cloud infrastructure and services in a timely manner.
**_
Job Requirement:_**
- Bachelor's degree in Computer Science, Engineering, or related field.
- Solid understanding of cloud computing principles and best practices.
- Proven experience working as a Cloud Engineer or similar role.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Proficiency in at least one cloud platform (AWS, Azure, or Google Cloud Platform).
- Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and DevOps practices.
- Understanding of networking concepts and security best practices in cloud environments.
- Excellent communication and collaboration abilities. & ability to communicate technical concepts to non-technical stakeholders.
- Adaptability to rapidly changing priorities and requirements & strong attention to detail and commitment to delivering high-quality results.
**_
Required Tool and Program Proficiency _**
- Proficiency in cloud services and management tools (e.g., AWS EC2, S3, IAM, Azure VMs, Google Cloud Compute Engine).
- Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation.
- Familiarity with containerization tools such as Docker and orchestration platforms like Kubernetes.
- Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK Stack, or CloudWatch.
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