Job Openings Cloud Infrastructure Engineer

About the job 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.


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