Total 15 computer security job vacancies in Maintenance / Repair category

ASG Security Sdn Bhd is seeking a motivated and experienced Service Technician to join our growing team in the security systems industry.

The ideal candidate is hands-on, reliable, and passionate about delivering quality service and technical support. You will be responsible for the installation, troubleshooting, maintenance, and servicing of security systems while ensuring excellent customer satisfaction.

Join a company that values teamwork, professionalism, and continuous growth, and be part of a dynamic environment with opportunities to develop your technical skills and career.

Job Responsibilities

Perform installation, maintenance, configuration, testing, commissioning, and troubleshooting of CCTV, Card Access, Intrusion Detection Systems, networking, storage, hardware, and software.

Attend to customers’ queries, support, services, and issues.

Involved in cabling, wiring, mounting, and termination works.

Report site details, work done, project progress status, customer requests or feedback, and issues to the reporting Manager/Supervisor.

Update the documentation and provide operational training.

Liaise/manage with suppliers/vendors and outsourced contractors for delivery works.

Requirements

Candidate must possess at least a Professional Certificate, Diploma, Advanced Diploma, or Bachelor’s Degree in Engineering (Electrical/Electronic, Computer/Telecommunication, others)

3 years of relevant work experience in a similar industry.

Possessed a driving license with own transport (Car).

Basic knowledge in cabling, networking, electronics, & computer.

Strong analytical, excellent communication, and interpersonal skills.

Able to work independently with minimal supervision.

A team player to achieve corporate goals.

Ability to accept new challenges, develop new skills/knowledge, and constantly engage in learning new technologies, methods, and processes.

Must be willing to work overtime or late hours when required for project/site support.

Why Join Us?

✅ Career growth opportunities

✅ Exposure to enterprise security systems

✅ Supportive team environment

✅ Training and skill development opportunities

Perks & Benefits

Allowance (travel stipends, transportation, etc.)

Nearby public transport

Paid training and development

Perks & Benefits

• Allowance (travel stipends, transportation, etc.)

Key Roles and Responsibilities

• To troubleshoot and maintain/service security systems at clients’ premises
  
• Attend to fault calls during/after office hours
  
• Support Maintenance Lead to upkeep Clients’ security system inventory list and maintenance spares
  
• Support Maintenance Lead to liaise with clients, integrated facility management representatives and trade contractors to facilitate work at clients’ premises
  
• Liaise closely with clients, integrated facility management representatives on all service/maintenance related issues to achieve optimal results
  
• Ensure that works carried out are in compliance with the Workplace Safety and Health Act
  
• Perform any other technical tasks as required including new installations, A&A, HOTO, T&C and equipment replacement etc
  

Requirements

• Diploma/Higher Nitec/Nitec in Engineering/IT or relevant working experience in the related field
  
• Hands on experience in security systems such as Integrated Security Management Systems, Card Access Control Systems, Intrusion Detection Systems, CCTV systems and Electronic Key Management System
  
• Additional knowledge in hardware configuration, System Networking and integration with third-party systems will be an advantage
  
• Must be a team player, independent and willing to take ownership and pro-active in problem solving
  
• Driving License (Car or Motorbike) – Preferably if candidate possesses its own vehicle
  
• Singapore Citizens are preferred
  
• Work Location is at 3 Shan Road/Clients’ premises
  
• 5 days work week
  
• Require to perform rotational standby duties
  
• Experienced candidates will be considered for Maintenance Engineer
  
• Fresh Graduates keen to seek a career path in security system are welcome to apply as a Maintenance Technician

Job Title: Technician

Job Summary

We are looking for a dedicated and hands-on Access Control & CCTV Installation Technician to join our team. The successful candidate will be responsible for the installation, testing, commissioning, and maintenance of security systems, including CCTV surveillance, access control systems, structured cabling, and associated infrastructure. This role requires a strong work ethic, attention to detail, and the ability to work in various site environments.

Key Responsibilities

• Install, terminate, test, label, and document low-voltage cabling systems.
• Install and commission Access Control systems, including card readers, biometric readers, door controllers, electric locks, and related devices.
• Program and configure Access Control Panels and management software.
• Install and configure various CCTV camera types, including Analog and IP-based surveillance systems.
• Install, configure, and troubleshoot DVRs, NVRs, and video management systems.
• Install cable pathway systems such as cable trays, cable racks, conduits, J-hooks, and D-rings.
• Perform cable testing and ensure compliance with project specifications and industry standards.
• Conduct system testing, commissioning, and handover to clients.
• Troubleshoot and resolve installation and connectivity issues.
• Maintain accurate installation records, cable labeling, and project documentation.
• Perform preventive maintenance and service calls for installed security systems.
• Follow company safety procedures and maintain a safe working environment at all times.
• Collaborate with project managers, engineers, and other technicians to complete projects on schedule.

Requirements

• NITEC, Higher NITEC, Diploma, or equivalent technical qualification.
• Experience in CCTV, Access Control, ELV, or Security System installations preferred.
• Knowledge of Analog CCTV, IP CCTV, DVR/NVR systems, and Access Control technologies.
• Familiarity with cable installation, termination, testing, and troubleshooting.
• Basic understanding of networking and IP-based security systems is an advantage.
• Ability to read technical drawings and installation layouts.
• Good problem-solving and troubleshooting skills.
• Valid driver's license is an advantage.

Physical Requirements

• Willingness to work days, nights, and weekends as required.
• Ability to carry heavy equipment and materials.
• Ability to carry, set up, and safely climb ladders.
• Capable of working at heights and in various site environments.
• Physically fit and able to perform installation work

Key Roles and Responsibilities

• To troubleshoot and maintain/service security systems at clients’ premises
• Attend to fault calls during/after office hours
• Support Maintenance Lead to upkeep Clients’ security system inventory list and maintenance spares
• Support Maintenance Lead to liaise with clients, integrated facility management representatives and trade contractors so as to facilitate to carry out work at clients’ premises
• Liaise closely with clients, integrated facility management representatives on all service/maintenance related issues to achieve optimal results.
• Ensure that works carried out are in compliance with the Workplace Safety and Health Act.
• Perform any other technical tasks as required including new installations, A&A, HOTO, T&C and equipment replacement etc

Requirements

• Diploma/Higher Nitec/Nitec in Engineering/IT or relevant working experience in the related field
• Hands on experience in security systems such as Integrated Security Management Systems, Card Access Control Systems, Intrusion Detection Systems, CCTV systems and Electronic Key Management System.
• Additional knowledge in hardware configuration, System Networking and integration with third-party systems will be an advantage
• Must be a team player,Independent and willing to take ownership and Pro-active in Problem solving
• Driving License (Car or Motorbike) – Preferably if candidate possesses its own vehicle
• Singapore Citizens are preferred
• Work Location is at 3 Shan Road/Clients’ premises
• 5 days work week
• Require to perform rotational standby duties
• Experience Candidate will be considered for Maintenance Engineer
• Fresh Graduates keen to seek a career path in security system are welcome to apply as a Maintenance Technician

• Salary: Range: $2,000 - $2,400 
• Working Days: 5 days, Monday to Friday
• Working Hours: 8.30am to 5.30pm
• Location: West – Jurong East / Toh Guan

Responsibilities:

• Respond to scheduled and unscheduled maintenance service requests at customer premises.
• Troubleshoot and repair system abnormalities during maintenance service calls.
• Perform maintenance service in accordance with Company Service Agreements.
• Supervise and control subcontractors’ work quality for maintenance works.
• Provide technical support to other departments’ staff.
• Perform other duties as assigned.

Requirements:

• Possess at least a Nitec or Higher Nitec in Electronic or Electrical Engineering
• 1–2 years’ relevant experience in service and maintenance of alarm, card access and CCTV systems.
• WSQ certifications such as Building Construction Safety Supervisor, Work-at-Height and Risk Management will be an added advantage

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

Roles & Responsibilities

Key Roles and Responsibilities

• To troubleshoot and maintain/service security systems at clients’ premises
  
• Attend to fault calls during/after office hours
  
• Support Maintenance Lead to upkeep Clients’ security system inventory list and maintenance spares
  
• Support Maintenance Lead to liaise with clients, integrated facility management representatives and trade contractors so as to facilitate to carry out work at clients’ premises
  
• Liaise closely with clients, integrated facility management representatives on all service/maintenance related issues to achieve optimal results.
  
• Ensure that works carried out are in compliance with the Workplace Safety and Health Act.
  
• Perform any other technical tasks as required including new installations, A&A, HOTO, T&C and equipment replacement etc
  

Requirements

• Diploma/Higher Nitec/Nitec in Engineering/IT or relevant working experience in the related field
  
• Hands on experience in security systems such as Integrated Security Management Systems, Card Access Control Systems, Intrusion Detection Systems, CCTV systems and Electronic Key Management System.
  
• Additional knowledge in hardware configuration, System Networking and integration with third-party systems will be an advantage
  
• Must be a team player,Independent and willing to take ownership and Pro-active in Problem solving
  
• Driving License (Car or Motorbike) – Preferably if candidate possesses its own vehicle
  
• Singapore Citizens are preferred
  
• Work Location is at 3 Shan Road/Clients’ premises
  
• 5 days work week
  
• Require to perform rotational standby duties
  
• Experience Candidate will be considered for Maintenance Engineer
  
• Fresh Graduates keen to seek a career path in security system are welcome to apply as a Maintenance Technician

Key Roles and Responsibilities

• To troubleshoot and maintain/service security systems at clients’ premises
• Attend to fault calls during/after office hours
• Support Maintenance Lead to upkeep Clients’ security system inventory list and maintenance spares
• Support Maintenance Lead to liaise with clients, integrated facility management representatives and trade contractors so as to facilitate to carry out work at clients’ premises
• Liaise closely with clients, integrated facility management representatives on all service/maintenance related issues to achieve optimal results.
• Ensure that works carried out are in compliance with the Workplace Safety and Health Act.
• Perform any other technical tasks as required including new installations, A&A, HOTO, T&C and equipment replacement etc

Requirements

• Diploma/Higher Nitec/Nitec in Engineering/IT or relevant working experience in the related field
• Hands on experience in security systems such as Integrated Security Management Systems, Card Access Control Systems, Intrusion Detection Systems, CCTV systems and Electronic Key Management System.
• Additional knowledge in hardware configuration, System Networking and integration with third-party systems will be an advantage
• Must be a team player,Independent and willing to take ownership and Pro-active in Problem solving
• Driving License (Car or Motorbike) – Preferably if candidate possesses its own vehicle
• Singapore Citizens are preferred
• Work Location is at 3 Shan Road/Clients’ premises
• 5 days work week
• Require to perform rotational standby duties
• Experience Candidate will be considered for Maintenance Engineer
• Fresh Graduates keen to seek a career path in security system are welcome to apply as a Maintenance Technician

Education / Experience

 Diploma and/or Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline

Job Description

• Responsible for configuration, maintenance and upgrading of servers, networks and related hardware and software

• Perform asset management and maintain accurate asset records

• Perform day-to-day IT infrastructure health and security monitoring and checks

• Troubleshoot infrastructure and network related issues

• Perform change management control, and ensure changes are trackable and properly documented

• Respond to service requests and incidents to provide timely and effective resolutions

• Work with service providers/vendors to ensure SLAs are met

• Best be able to automate tasks with basic Bash/PowerShell scripting and high-level programming languages such as Python/Perl

• Provide support in the provisioning of IT infrastructure-related projects and other ad-hoc duties as assigned

Requirements

• Diploma/Bachelor of Science in Computer Science/Computer Information Systems or equivalent

• Entry level welcome or relevant working experience preferred

• Best to have working knowledge and strong understanding in (Redhat, Windows OS, Cisco, Dell EMC, Pure Storage, VMware)

• Strong analytical and problem-solving skills

• Able to troubleshoot IT problems using logs, and tracing through steps

• Able to work independently and contribute as a team

• Willingness and capacity to learn new technologies and tools for the continuous improvement of systems and processes

Imaging Machine Vision Sales Engineer ( OpenCV, Computer Vision )

Working Days & Time: Mon – Fri, 9am – 6pm

Location: Ubi

Salary: $3000 - $5000

Summary

Reporting to the Managing Director and Technical Sales Director, this position in Industrial Automation with key focus in Machine Vision, DEEP Learning, IIOT etc.

Responsibilities

• Technical Support

  • Perform technical benchmarking and analysis to support engineering solutions

  • Assist in installation and running of product demonstration, events and exhibition of HALOCN

  • Strong interest in guiding and impact knowledge to customers on product knowledge

• Presales and Solution Provider

  • Propose and implement creative, efficient solutions for machine vision problems

  • Contribute to expanding our application for assigned Product Group (HALCON from MVTec, Deep Learning)

  • Collaborate cross-functionally with supplier, customers, Sales Team and other engineers to achieve elegant solutions

• Organizer and Training Provider

  • Organize and lead classes for customers for beginner and intermediate level

Requirements

• Degree in Computer, Electronical and Electronics, Mechanical Engineering fields, or Computer Science
• Prior experience as a Machine Vision Engineer, or preferably in similar industry
• Proven ability to drive the sales from plan to close
• Ability to travel in Asia region as required up to 15% - 20%
  

Other software requirements:

• Proficiency in C, C++, C#, Visual Basic.Net, Python, MATLAB. Familiarity in OpenCV and Linux would be plus.
• Demonstrated experience in 3D development, Computer Vision, Image Processing and Embedded Vision.
• Demonstrated experience in working on imaging/camera systems.
• Demonstrated experience with GPU/CPU programming.
• Demonstrated experience in machine learning, deep learning, recommendation algorithm would be a plus.
  
  

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Facilities officer is the person in charge of operating and maintaining the buildings and grounds of an organization, corporation, institution, or any other entity that has significant physical property.

Oversee just one large building and the property on which it is located, or they might be in charge of a campus that has many buildings and extensive property.

Responsibilities, including:

• Maintaining and repairing buildings and equipment • Overseeing custodial and security staff

• Ensuring that the lighting, heating, air conditioning and ventilation systems are operating properly to provide good working and/or living conditions for occupants

• Supervising the design and upkeep of the facilities grounds and landscaping

• Updating and maintaining the telecommunications and computer systems

• Adhering to and improving health and safety standards, and

• Planning for and overseeing major renovations and new construction.

Summary of the Role:

As a Technician III, Manufacturing Equipment Engineering (Computer Numerical Control Machinist), you are responsible for operating CNC milling machines to produce precision parts, including selecting tools, setting up machines, and monitoring operations to ensure quality and accuracy. The role also involves interpreting technical drawings and performing minor repairs, including troubleshooting programs and equipment issues.

Key Responsibilities and Role Accountabilities:

• Responsible for operating a CNC milling machine to produce precision parts and components.
• Select the correct cutting tools, adjust the machine settings, and monitor the machine during the process to ensure the parts are being produced in the Machine shop.
• Read and interpret blueprints, sketches, drawings, manuals, specifications, or sample parts to determine dimensions and tolerances of finished work pieces, sequence of operations, and setup requirements.
• Do minor repairs, such as repairing faulty programs and machinery.

About the Role

• Perform first-line troubleshooting and rectification works to General Building, ACMV, Fire and Electrical equipment and Systems.
• Coordinate and assist in the building daily operations.
• Carry out daily inspections at common area M&E equipment and up-keep of the building’s common area.
• Provide front-line response to site management’s feedback and complaints with regards to M&E matters.
• Coordinate and carry out checks on 3rd party contractor's works in common areas and report to MA.
• Maintain proper stock control for all mechanical/electrical equipment and parts.
• Respond and attend to emergency calls, after office hours and for reinforcement of manpower during major breakdown of plant and equipment.
• Supervise and ensure service contractors conduct servicing properly and in accordance to the service contract requirements.

Requirements

• Must possess at least Professional Certificate/NiTEC in Engineering (Electrical/Electronic) or equivalent.
• Able to converse, read and write in basic English.
• At least 1 Year(s) of working experience in the related field.
• Required Skill(s): Electrical, Building Maintenance, ACMV.
• Experience in building maintenance is a plus

Working Hours

• Monday to Friday, 8:30am – 6:00pm
• Night/weekend work may be required depending on service needs

Benefits

• AWS & Performance Bonus
• Transport allowance
• Health insurance
• Dental reimbursement
• Birthday incentive
• Friendly working environment

Job Responsibilities

• Carry out servicing, maintenance, and troubleshooting of security systems
• Liaise with clients on service and maintenance matters
• Lead and guide a team of technicians on daily operations
• Support supervisor in planning and assigning service tasks
• Ensure timely completion of maintenance and service works
• Manage client expectations and maintain good customer relationships
• Ensure all works comply with Workplace Safety & Health (WSH) regulations
• Assist with any other technical duties when required

Requirements

• Minimum Nitec in Electrical/Electronic Engineering
• At least 2 years of relevant experience in security systems
• Hands-on experience with CCTV, access control, and alarm systems
• Good problem-solving and communication skills
• Able to work independently with minimal supervision
• Must have own vehicle

Interested candidates please WhatsApp me at +65 6509 0823 or send in your resume to willie.goh@swiftsearchglobal.com
https://wa.me/6565090823

We regret to inform you that only shortlisted candidates will be notified.

Willie Goh | EA Reg No: R2197853

Swift Search Global Pte Ltd | EA No: 18C9495

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.