System Engineer (Software Engineering) (Ref 26620)

Jobline Resources Pte Ltd; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Jobline Resources Pte Ltd in Singapore is seeking a Systems Deployment Engineer to test, deploy, and document software patches and installations, ensuring validated procedures and traceable documentation.

You will prepare backups, coordinate with vendors, support AI-enabled applications, and contribute to AI governance and security compliance across test and production environments.

Qualifications

• Diploma/Degree in EEE/Computer Science/Computer Engineering or equivalent.
• Familiar with software deployment and repository tools.
• Knowledge of digital communications, Microsoft .NET, scripting languages (PowerShell, Python, Bash).
• Knowledge of professional software engineering and best practices.
• Knowledge of Communication Stack Layer and various communication protocols like SNMP, TCP/IP and UDP.
• Knowledge of Firmware development will be an added advantage.
• Knowledge of OS/System Hardening will be an added advantage.
• Basic understanding of AI/ML and Generative AI technologies.
• Understanding of AI model validation, performance monitoring, and operational support.
• Awareness of AI governance, security, and data privacy best practices.
• Willing to learn and travel to site.
• Customer support outside of normal business hours.

Responsibilities

• Test, deploy, and document software patches and installations.
• Prepare and maintain system and database backup and restore procedures.
• Participate in SAT, UAT, and on-site deployment activities.
• Liaise with vendors and users to troubleshoot deployment issues on-site and remotely.
• Support deployment, integration, monitoring, and maintenance of AI-enabled applications.
• Assist in validating AI model deployments and performance in test and production.
• Collaborate with development, data, and engineering teams to support AI solutions.
• Prepare deployment guides and operational procedures for traditional and AI-based systems.
• Ensure compliance with project plans, security policies, and AI governance.
• Participate in project meetings and coordinate with cross-functional teams for project execution.

Skills

Software deployment

Documentation

Customer support

Willingness to travel

Education

Diploma/Degree in EEE/Computer Science/Computer Engineering or equivalent

Tools

PowerShell

Python

Bash

Microsoft .NET

SNMP

TCP/IP

UDP

Job description

Responsibilities

• Test, deploy, and perform software/software patch installations, validation, and documentation.
• Prepare and maintain system and database backup and restore procedures.
• Participate in project meetings, system acceptance testing (SAT), user acceptance testing (UAT), and on-site deployment activities.
• Liaise with vendors and users to troubleshoot and resolve software, system, and deployment issues both on-site and remotely.
• Support the deployment, integration, monitoring, and maintenance of AI-enabled applications and solutions.
• Assist in validating AI model deployments and AI application performance in test and production environments.
• Collaborate with development, data, and engineering teams to support AI solution implementation and operational readiness.
• Prepare technical documentation, deployment guides, and operational procedures for both traditional and AI-based systems.
• Comply with project plans, security policies, industry standards, and AI governance best practices.
• Participate in project meetings and coordinate with cross-functional teams to ensure successful project execution.

Requirements

• Diploma/Degree in EEE/Computer Science/Computer Engineering or equivalent
• Familiar with software deployment and repository tools
• Knowledge of digital communications, Microsoft .NET, Scripting languages (PowerShell, Python, Bash)
• Knowledge of professional software engineering and best practices
• Knowledge of Communication Stack Layer and various communication protocols like SNMP, TCP/IP and UDP
• Knowledge of Firmware development will be an added advantage
• Knowledge of OS/System Hardening will be an added advantage
• Basic understanding of AI/ML and Generative AI technologies
• Understanding of AI model validation, performance monitoring, and operational support
• Awareness of AI governance, security, and data privacy best practices
• Willing to learn and travel to site
• Customer support outside of normal business hours

Licence no: 12C6060