Senior Cloud Engineer - ML Platform & AI Infra

DÜRR DENTAL SE; Selangor; On-site; MYR 180,000 - 280,000; Full time

Benefits offered by this job

Latest technologies & tools

Cloud-based AI solutions

International team environment

Modern office environment

Job summary

DÜRR DENTAL SE is expanding its software development presence in Malaysia to deliver AI-based and cloud-based dental software solutions. The role focuses on building scalable cloud infrastructure and backend services for ML inference, while collaborating with data science and product teams to ship production-grade AI services.

The ideal candidate has strong Python skills, hands-on Kubernetes and Terraform experience, and is comfortable leading engineering efforts within an international,

Qualifications

• Strong Python skills for backend and infrastructure automation.
• Hands-on experience with Kubernetes, Terraform, CI/CD, and containerized workloads.
• Expertise with AWS, GCP, or Azure, including compute, networking, storage, and managed services.
• Excellent communication and demonstrated technical leadership.
• Bachelor’s or master’s degree in a STEM field or equivalent experience.

Responsibilities

• Design, build, and operate cloud infrastructure and backend services serving ML inference workloads at scale.
• Design, implement, and operate platform components and automation for production ML workloads.
• Collaborate with data science and product teams to deliver production-grade AI services.
• Enhance observability, performance, and reliability through monitoring, alerting, and incident response.

Skills

Python programming

Backend development

Technical leadership

Communication skills

Education

Bachelor’s or Master’s degree in a STEM field

Tools

Kubernetes

Terraform

CI/CD

Cloud platforms (AWS/GCP/Azure)

Job description

DÜRR DENTAL SE is expanding its software development presence in Malaysia to deliver AI-based and cloud-based dental software solutions. The role focuses on building scalable cloud infrastructure and backend services for ML inference, while collaborating with data science and product teams to ship production-grade AI services.

The ideal candidate has strong Python skills, hands-on Kubernetes and Terraform experience, and is comfortable leading engineering efforts within an international,