Cloud Infrastructure Engineer — Scalable, Secure Platform Ops

Razer Merchant Services Sdn. Bhd.

Shah Alam

On-site

MYR 120,000 - 180,000

Full time

14 days+

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Job summary

Razer Merchant Services Sdn. Bhd. in Malaysia is seeking a Software Engineer to design, develop, and enhance mission‑critical payment platform services, building scalable, secure backend systems for merchant integrations, routing, settlement, and financial data.

You will work with cross‑functional teams to deliver reliable services, adopting automation, observability, and AI‑assisted development, and contribute to platform modernization and performance optimization.

Qualifications

  • Bachelor's degree or equivalent in CS/IT/engineering.
  • 3–6 years in cloud infrastructure or systems administration.
  • Experience managing production cloud environments.
  • Strong knowledge of Linux, networking, and distributed systems.
  • Scripting in Python or Bash.

Responsibilities

  • Design, develop, and maintain payment platform services for scalable, secure backend systems.
  • Ensure high availability and performance of routing and settlement workflows.
  • Implement infrastructure as code and cloud automation using Terraform and related tools.
  • Monitor health, troubleshoot incidents, and perform root cause analysis.
  • Collaborate with DevOps and R&D to enable intelligent automation.

Skills

Cloud infrastructure
Linux administration
Scripting (Python or Bash)
Automation practices
Observability concepts
Distributed systems

Education

Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field

Tools

Docker
Kubernetes
Terraform
CI/CD tooling

Job description

Razer Merchant Services Sdn. Bhd. in Malaysia is seeking a Software Engineer to design, develop, and enhance mission‑critical payment platform services, building scalable, secure backend systems for merchant integrations, routing, settlement, and financial data.

You will work with cross‑functional teams to deliver reliable services, adopting automation, observability, and AI‑assisted development, and contribute to platform modernization and performance optimization.

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