Full Stack Developer (imAI Platform)

Two95 International

George Town

On-site

MYR 120,000 - 180,000

Full time

4 days ago
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Job summary

Two95 International in Malaysia is seeking 2-3 Full Stack Developers to accelerate the imAI platform development and MLOps capabilities. You will develop and support full-stack, cloud-native applications including frontend UI, backend services, and deployment in scalable environments.

Ideal candidates have 3–8 years of experience, strong Python/Go (Rust a plus), and hands-onDocker/Kubernetes experience. Knowledge of cloud-native architectures and AI/ML tools is advantageous.

Qualifications

  • Mid to senior level with 3–8 years of experience.
  • At least 2+ years in cloud-native / containerized environments.
  • Experience in MLOps or AI platforms is a strong advantage.

Responsibilities

  • Develop and support full-stack, cloud-native applications for the imAI platform.
  • Include frontend UI, backend services, and deployment in scalable environments.
  • Collaborate on architecture, CI/CD, and platform reliability.

Skills

Python
Go
Rust
SQL
NoSQL
S3 storage
Cloud-native architectures
Docker
Kubernetes
Linux/WSL2
AI/ML frameworks

Tools

Docker
Kubernetes

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

We are looking to onboard 2-3 Full Stack Developers to accelerate imAI platform development and MLOps capabilities.

Role Summary:

Develop and support full-stack, cloud-native applications for the imAI platform, including frontend UI, backend services, and deployment in scalable environments.

Required Skills:
  • Strong programming in Python and Go (Rust is a plus)
  • Experience with SQL and NoSQL databases
  • Familiarity with S3-based object storage
  • Knowledge of cloud-native architectures (microservices, event-driven systems)
  • Hands-on experience with Docker and Kubernetes
  • Comfortable working in Linux / WSL2 environments
  • Exposure to AI/ML frameworks and tools
Experience Level:
  • Mid to Senior level preferred (3-8 years of experience)
  • At least 2+ years in cloud-native / containerized environments
  • Experience in MLOps or AI platforms is a strong advantage
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