Cloud Infrastructure Engineer

Employer Highlight

• A fast-growing regional technology solutions provider specializing in enterprise infrastructure and AI Data Centre (AIDC) solutions.
• Operating across 11 entities in the Asia-Pacific region, serving both traditional enterprise customers and emerging AI infrastructure clients.
• Currently expanding its delivery capabilities and transitioning from traditional IT infrastructure solutions towards next-generation AI infrastructure projects.
• Offers regional project exposure across multiple markets, with opportunities to work alongside international customers, vendors and engineering teams.

Project/Goal:

• Support enterprise cloud infrastructure implementation and AI-driven projects, focusing primarily on cloud engineering, automation and deployment.

Key Responsibilities:

• Design, implement and maintain cloud infrastructure across enterprise environments.
• Manage infrastructure automation, deployment and production operations.
• Support AI integrations, including LLM, RAG and intelligent automation where applicable.
• Work directly with customers to understand requirements and deliver technical solutions.
• Reports directly to the Team Lead.
• Works closely with customers and cross-functional engineering teams.
• Approximately 70% cloud infrastructure and 30% AI-related work.

Skills Requirements:

• 3 to 5 years of relevant cloud infrastructure engineering experience, with strong hands-on implementation capabilities.
• Strong cloud-native knowledge, with experience in AWS or Azure.
• Hands-on experience with Ansible and Linux scripting.
• Able to manage technical delivery independently and communicate effectively with customers.
• Willingness to learn AI technologies; prior AI engineering experience is not mandatory.
• Must be willing to travel overseas for extended project assignments.

Technical Competencies:

• AWS / Microsoft Azure
• Ansible
• Linux scripting and administration

Good to Have:

• Kubernetes and Docker
• Observability and monitoring
• Data engineering or AI/ML exposure

Work Location:

• Based in KL, remote working arrangements with overseas travel and outstation assignments required.
• Must be comfortable with extended on-site assignments of 1 to 2 months or longer, depending on project requirements.
• Flights, hotel accommodation and country-based daily allowances are provided for overseas assignments.