Senior Cloud Engineer

We are looking for a forward-thinking engineer to lead cloud implementation projects with a specific focus on Enterprise Workloads (SAP) and Modern Data and AI Platforms. You will bridge the gap between complex business requirements and cutting-edge cloud technology.

Responsibilities

• SAP on Cloud Architecture: Design, migrate, and implement robust infrastructure for SAP workloads across AWS, Azure, and GCP.
• Data & AI Platform Implementation: Build and deploy scalable data platforms that support AI, machine learning, and advanced visualization capabilities.
• Client Consultation: Partner directly with clients to translate business needs into technical specifications for cloud-native solutions and SAP integrations.
• MVP & Innovation: Lead Proof of Concept (POC) and Minimum Viable Product (MVP) initiatives to demonstrate the value of Cloud and AI technologies to stakeholders.
• Infrastructure as Code (IaC): Utilize Terraform, CloudFormation, or ARM to automate the provisioning of complex enterprise environments.

Requirements

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Cloud Expertise: Minimum 3-5 years of hands-on experience with AWS, Azure, or Google Cloud architecture.
• SAP Proficiency: Proven experience deploying or managing SAP systems in a corporate/enterprise cloud environment.
• Data & AI Literacy: Familiarity with modern data ecosystems (Data Lakes, Warehouses) and AI/Visualization tools.
• Technical Stack:
• Strong understanding of Container Clusters (Kubernetes/ECS).
• Proficiency in scripting (Python, Bash, PowerShell).
• Experience with Database design (Relational & NoSQL).
• Communication: Excellent verbal and written skills for client-facing presentations and solution defense.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Important: Only Malaysian Nationality will be proceed

Preferred Qualifications:

• AWS Certified (AWS Solutions Architect, AWS SysOps Engineer).
• Experience with other cloud providers (e.g., Azure, Google Cloud Platform).
• Knowledge of other Infrastructure as Code tools (e.g., Terraform, Terragrunt).
• Familiarity with containerization technologies other than Kubernetes (e.g., Docker).

Benefits

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