Onsite Deployment Engineer for AI Systems

AI Rudder Pte Ltd; Kuala Lumpur; Presencial; MYR 90.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning & Development

Performance Recognition

Global Exposure

Meaningful Impact

Ownership & Autonomy

Team Engagement

Descripción de la vacante

AI Rudder Pte Ltd in Malaysia is hiring a deployment engineer to install, deploy and commission our intelligent seat system at customer sites. You will work closely with customers to understand their hardware, software, and network environment to plan a robust deployment.

The role requires Linux proficiency, scripting in shell or Python, container tech with Docker and Kubernetes, and cloud/data center experience.

Formación

• Proficient with Linux and able to write shell or Python scripts.
• Strong ability to troubleshoot networks with ping/telnet and other commands.
• Familiar with Kubernetes and container deployment using Docker.
• Experience installing Linux on servers from scratch, configuring network and deploying software.
• Experience with Public Cloud and data centers, either cloud or on-premises.
• Excellent communication, analytical thinking and problem-solving; able to coordinate with teams.

Responsabilidades

• Install, deploy, commission and deliver the intelligent seat system at customer sites.
• Understand customer hardware/software and participate in deployment planning.
• Stay on site during deployment and coordinate product R&D resources to resolve issues for smooth go-live.
• Provide post-go-live support and monitor system on customer sites.

Conocimientos

Linux

Python scripting

Shell scripting

Network troubleshooting

Kubernetes

Docker

Public Cloud

Data Center

Communication

Problem solving

Herramientas

Linux

Docker

Kubernetes

Public Cloud

Physical Servers

Network Utilities

Descripción del empleo

AI Rudder Pte Ltd in Malaysia is hiring a deployment engineer to install, deploy and commission our intelligent seat system at customer sites. You will work closely with customers to understand their hardware, software, and network environment to plan a robust deployment.

The role requires Linux proficiency, scripting in shell or Python, container tech with Docker and Kubernetes, and cloud/data center experience.