Cloud Solution Specialist, Ai/ml

1 week ago

Malaysia NodeFlair Full time

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 crossfunctional teams to understand requirements and implement solutions that align with business objectives.
  • Automate infrastructure provisioning, configuration, and management using infrastructureascode 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.
  • Handson 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 infrastructureascode 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 nontechnical stakeholders.
  • Adaptability to rapidly changing priorities and requirements & strong attention to detail and commitment to delivering highquality 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 infrastructureascode 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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