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
Understanding the needs and requirements of the clients by coordinating with their representatives and seeking clarity on every minute detail in order to provide the best possible solution.
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.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
Hands-on experience with AWS, Azure, or Google Cloud
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).
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