DevOps Engineer (Mr. Robot Project)

MR DIY International; Kajang Municipal Council; On-site; MYR 67,000 - 134,000; Full time

Job summary

MR. ROBOT is seeking a DevOps Engineer to bridge software development, AI models, cloud infrastructure, and robotic systems across the development, deployment, and operational lifecycle.

In MR. ROBOT's fast-moving environment, you will strengthen deployment automation, system reliability, monitoring, and scalability, helping engineering teams move software, AI, and robotics capabilities reliably from development into real-world operational.

Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field.
• 2–4 years of experience in DevOps, infrastructure engineering, software deployment, cloud infrastructure, or a related technical role.
• Comfortable working with Linux environments.
• Hands-on experience with Docker and containerised application environments.
• Proficiency in scripting using Python, Bash, or similar languages.
• Understanding of software deployment, servers, networking, APIs, and system environments.
• Familiarity with cloud infrastructure and cloud-based application environments.
• Understanding of system monitoring, logging, and troubleshooting concepts.
• Exposure to edge computing or NVIDIA Jetson platforms is an added advantage.
• Exposure to AI/ML workloads, robotics, IoT, or other distributed systems is an added advantage.
• Strong troubleshooting and problem-solving skills with the ability to diagnose infrastructure and deployment issues.
• Comfortable working across software, AI, infrastructure, and robotics environments.
• Good communication skills with the ability to collaborate across multidisciplinary engineering teams.
• Adaptable and comfortable working in a fast-moving technical environment.
• Strong interest in AI, robotics, and automation technologies is highly desirable.

Responsibilities

• Deployment & Automation: Support and improve deployment processes across software, AI models, cloud infrastructure, and robotic systems.
• Automate repetitive deployment and operational workflows to improve efficiency, consistency, and reliability.
• Support software, model, and system updates across development and operational lifecycles.
• Work with engineering teams to identify and improve deployment workflows as MR. ROBOT's robotics platform grows.
• Manage and maintain infrastructure supporting MR. ROBOT's software, AI, and robotics applications.
• Support Linux and Docker-based environments used across development and robotics deployment.
• Support connectivity and communication between cloud infrastructure, servers, edge devices, and deployed robotic systems.
• Support edge computing environments, including NVIDIA Jetson platforms, where applicable.
• Assist in maintaining stable and consistent environments across development, testing, and deployment.

Skills

Linux

Docker

Python

Bash

Cloud infrastructure

AI/ML workloads

Robotics environments

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

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.

MR. ROBOT specialises in developing intelligent robotics and automation systems that enhance operational performance in retail, logistics, and commercial environments. By combining advanced AI, robotics engineering, and system integration, we deliver practical, scalable solutions that help businesses innovate operational workflows and prepare for tomorrow’s automation demands.

Focused on real-world deployment rather than prototypes, Mr. Robot’s offerings are designed to integrate seamlessly with existing systems-bringing robotics out of the lab and into productive use.

Driving Southeast Asia’s automation revolution with AI robotics for partners, integrators, and industries ready to scale.

Job Summary:

The DevOps Engineer is responsible for supporting the integration between software development, AI models, cloud infrastructure, and robotic systems throughout the development, deployment, and operational lifecycle.

In MR. ROBOT's fast-moving environment, the DevOps Engineer focuses on strengthening deployment automation, system reliability, monitoring, and scalability, helping engineering teams

move software, AI, and robotics capabilities reliably from development into real-world operational

Job Responsibilities:

Deployment & Automation

• Support and improve deployment processes across software, AI models, cloud infrastructure, and robotic systems.
• Automate repetitive deployment and operational workflows to improve efficiency, consistency, and reliability.
• Support software, model, and system updates across development and operational
• Work with engineering teams to identify and improve deployment workflows as MR. ROBOT's robotics platform grows.
• Manage and maintain infrastructure supporting MR. ROBOT's software, AI, and robotics applications.
• Support Linux and Docker-based environments used across development and robotics deployment.
• Support connectivity and communication between cloud infrastructure, servers, edge devices, and deployed robotic systems.
• Support edge computing environments, including NVIDIA Jetson platforms, where applicable.
• Assist in maintaining stable and consistent environments across development, testing, and deployment.

AI & Robotics Deployment Support

• Work closely with AI, Robotics, and Software Engineering teams to support deployment of software and AI models into robotic systems.
• Support integration between cloud-based services, edge computing environments, and deployed robots.
• Assist engineering teams in diagnosing deployment and infrastructure issues affecting robot AI system performance.
• Support reliable deployment and updating of robotics applications across different operational environments.

System Monitoring & Reliability

• Support monitoring, logging, and robot-client/server telemetry to improve visibility of deployed system performance.
• Monitor system availability, performance, resource utilisation, connectivity, and operational health.
• Investigate infrastructure and deployment-related failures and support root cause analysis.
• Identify recurring system issues and implement improvements to strengthen system reliability and scalability.

Operational Support & Troubleshooting

• Troubleshoot issues involving system environments, network communication, deployment configurations, servers, and connectivity.
• Support engineering teams during system testing, deployment, and field troubleshooting where infrastructure involvement is required.
• Maintain appropriate system configurations and support recovery of services following operational issues.
• Contribute to reducing system downtime and improving deployment stability.
• Work closely with Software, AI, Robotics Integration, Application Engineering, and Operations teams throughout development and deployment activities.
• Identify opportunities to automate repetitive engineering and operational processes.
• Maintain deployment procedures, infrastructure configurations, troubleshooting guides, and related technical documentation.
• Share system findings and recurring failure patterns with relevant engineering teams to support continuous improvement.

Required Qualifications & Experience:

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field.
• 2–4 years of experience in DevOps, infrastructure engineering, software deployment, cloud infrastructure, or a related technical role.
• Comfortable working with Linux environments.
• Hands-on experience with Docker and containerised application environments.
• Proficiency in scripting using Python, Bash, or similar languages.
• Understanding of software deployment, servers, networking, APIs, and system environments.
• Familiarity with cloud infrastructure and cloud-based application environments.
• Understanding of system monitoring, logging, and troubleshooting concepts.
• Exposure to edge computing or NVIDIA Jetson platforms is an added advantage.
• Exposure to AI/ML workloads, robotics, IoT, or other distributed systems is an added advantage.
• Strong troubleshooting and problem-solving skills with the ability to diagnose infrastructure and deployment issues.
• Comfortable working across software, AI, infrastructure, and robotics environments.
• Good communication skills with the ability to collaborate across multidisciplinary engineering teams.
• Adaptable and comfortable working in a fast-moving technical environment.
• Strong interest in AI, robotics, and automation technologies is highly desirable.

You’ll only be the right candidate if you are aligned to our values and culture:

• Innovation: Challenge the status quo, embrace change, and drive continuous improvement.
• Teamwork: Collaborate effectively and contribute to shared success.
• Excellence: Strive for high standards in both delivery and customer experience.
• Integrity: Act with honesty, transparency, and accountability.
• Thrive in a fast-paced, purpose-driven environment.
• Motivated to make a meaningful impact within a high-performing team