Total 219 mechanical engineer job vacancies in F&B / Tourism / Hospitality category in The Philippines

Responsibilities:

• Implement and execute preventive and breakdown maintenance work for electrical and instrumentation related tasks with focus on safety.
• Perform electrical and Instrumentation troubleshooting.
• Able to work and trouble shoot with AC low voltage single phase and 3 phase systems.
• Identify and maintain an optimum level of electrical spares and drives to reduce plant downtime, take drive parameters back up and need to maintain.
• Ensure systematic documentation of Maintenance Procedures and Risk Assessments, SLD, E&I related and maintenance records for troubleshooting purpose.
• Experience in 3 phase generator control interfacing to grid power.
• Liaise with PE and organize preventive maintenance for MV and high voltage (22Kva).
• Understand and develop electrical panel schematics if needed.
• Guide technician on troubleshooting part if needed for ACMV, CCTV, Access control system, PA system, power and lighting.
• Update and control of Electrical specification, procedure and drawings.
• Material Management including consumables, parts and spare units.
• Responding to breakdowns, diagnosing faults, record and report.
• Review and approve of service, repair and overhaul equipment, record and report.
• Managing routine 5S at the maintenance workshop, store and work area at site.
• Communicate with clients, consultants, project personnel and relevant authorities.

Requirements:

• Minimum Bachelor’s Degree in Electrical Engineering, Mechatronic Engineering, or a related field.
• Minimum of 3 years’ relevant experience in electrical work, preferably within large-scale industrial/engineering company.

Technical Hands-On Skills and Supervision

• Proficient in CAD software, CMMS software and other engineering design tools.
• Hands on troubleshooting sensors, actuator valve and transmitters.
• Strong knowledge of preparing detailed E&I design (e.g., circuit and schematic diagrams, control panel layouts, MCC layouts, cable routes etc.).
• Strong knowledge of providing PLC Ladder Diagram and troubleshooting.
• Have basic knowledge in pumps alignment and health monitoring inspection.
• Strong knowledge in Preventive Maintenance inspection and planning.
• Independent and have leadership skill managing contractor and technicians.

Remuneration:

• Basic Salary: $4,000 – $4,600
• Working hours: Monday to Friday (8am – 5pm)
• Company Transport / Transport Allowance ($120) if candidate manages own transport
• Sign-on Bonus (Terms and Conditions apply)

Asia Medical Enviro Services is a market leader in medical and bio-hazardous waste collection, treatment and disposal in Singapore.

We are located near Tuas Crescent MRT station, a 10-minute bus journey. Some of our staff benefits are medical & insurance coverage, performance bonus, free parking and learning & development opportunities.

Job Responsibilities:

• Monitor plant performance and ensure minimum downtime.
• Plan and schedule manpower weekly or monthly duty roster.
• Lead root cause analysis by identifying recurring issues, troubleshooting and implementing corrective actions.
• Support plant improvement initiatives.
• Liaise with vendors and contractors and negotiate for cost efficient services.
• Ensure Plant operations comply with existing safety regulations through regular inspections, risk assessments and permit-to-work management.
• Ensure plant comply with ISO standard and internal or external audit.
• Support plant maintenance and testing activities.
• Support Inventory management

Job Requirements:

• Bachelor's degree in electrical engineering or instrumentation & control engineering or other relevant fields.
• 2 – 3 years of relevant E&I maintenance experience in chemical plant would be preferred.
• Fresh graduates are welcome to apply.
• On-the-Job training will be provided.
• Problem-solving abilities and the ability to work under pressure during plant shutdowns.

Deploy, configure, maintain, and optimize projects on major cloud platforms including GCP, AWS, andAzure to ensure stable, secure, and efficient system operations.

Build and maintain CI/CD pipelines using automation tools such as Jenkins, GitLab CI/CD, GitHubActions, and Azure DevOps.

Manage and troubleshoot infrastructure components including Linux servers, databases, containers,networking, security groups, and access permissions.

Handle system monitoring, log analysis, performance optimization, and production issue resolution;support incident response and participate in necessary on-call support rotation.

Assist in implementing access controls, log auditing, data security, and permission management incompliance with Singapore's local cybersecurity, data protection, and regulatory requirements.

Write automation scripts in Python, Shell, or other languages to improve deployment and operationalefficiency.

Support customer technical communication, system delivery, training, and ongoing maintenance;facilitate technical coordination and project progress between China and Singapore teams
Requirements
Bachelor's degree or above in Computer Science, Information Technology, Engineering, or a related field.

Hands-on experience with AWS, GCP, or Microsoft Azure cloud platforms.

Strong knowledge of Linux, Docker, Kubernetes, CI/CD pipelines, and cybersecurity fundamentals.

Proven problem-solving skills and experience supporting production environments.

Proficient in written and spoken English and Chinese for bilingual communication and documentation.

Experience in government, transportation, smart city, enterprise systems, DevOps, SRE, or Cloud Security projects is an advantage.

Relevant cloud, Kubernetes, or DevOps certifications are preferred.

About Us

Vivo Surgical is a patient-focused, clinician-driven medical device developer and manufacturer. Headquartered in Singapore with offices in China and Thailand, we are pioneering a novel endoscopic surgical robot for complex endoluminal surgeries. ISO 13485 certified with international accreditations awarded such as the US FDA and European CE mark, our devices target the medical needs of the world through innovative applications of science & technology. These encompass such fields as in vivo surgical LED lighting, portable endoscopy and endoscopic robots, which are strategically co-developed with world-class healthcare institutions and KOL collaborators. Join us as we build towards our vision of being Asia Pacific’s leading medical device developer and manufacturer.

About The Role

We value the importance of having a robust engineering team that would serve as a key pillar for sustained commercial success. To that end, we are looking for a Verification & Validation (V&V) Engineer to join us on this journey. In this role, you will be part of our fast-paced, fast-growing team and will take ownership of your role from the get-go. You will be planning, performing and documenting the system verification, integration and validation activities of our robotic system. You will be testing the requirements of our surgical robot to ensure that the product functions as intended. You will work with a multi-disciplinary team composed of mechanical, electrical, software and clinical engineers to develop the necessary test setups, protocols and reports. Your role will require you to work in close tandem with our external partners and suppliers.

Your responsibilities shall include the following:

• Interpret and translate system and subsystem design requirements into verification and validation plan.
• Develop test protocols, procedures and methodologies based on requirements and risk considerations.
• Design, develop test fixtures, jigs and test systems for verification activities.
• Execute testing, analyze results and generate comprehensive reports, ensuring full requirements traceability and system characterization.
• Coordinate and support external compliance testing (e.g. IEC 60601-1, IEC 60601-1-2, ISO 10993), including preparation and documentation.
• Contribute to risk management processes including Design FMEA and hazard analysis activities.
• Ensure all test equipment is properly maintained, calibrated and compliant with quality standards.
• Collaborate cross-functionally to investigate, troubleshoot and resolve system issues and failures.
• Drive continuous improvement by contributing ideas and supporting rapid design iterations to better meet user and clinical needs.

Your Qualifications & Experience

• Minimum Bachelor’s degree in Mechanical Engineering, Biomedical Engineering or related discipline.
• Minimum 3 years of experience in the medical device industry, with hands-on involvement in testing electromechanical systems.
• Solid understanding of standards such as IEC 60601-1, IEC 60601-1-2 and ISO 14971 is an advantage.
• Proven experience in developing and executing design verification protocols, generating test reports within a New Product Development (NPD) environment.
• Proficiency in CAD software such as SolidWorks and ability to interpret technical drawings is a plus.
• Familiarity with statistical analysis tools and methodologies such as Gage R&R and Minitab is a plus.
• Strong analytical, troubleshooting, problem-solving and communication skills.
• Adaptable, proactive, and able to thrive in a fast-paced, dynamic startup environment.

Contact

Please send your CV and cover letter to: hr@vivo-surgical.com. We look forward to receiving your application.

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector

• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology

• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms

• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content

• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.

• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.

• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.

• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.

• Background in handling data analytics as well as strong knowledge of data/cloud technologies.

• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.

• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.

• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.

• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500 per month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No.: 96C4864
Reg. No.: R26161270 JOEY TAY YI TING

Job Description & Requirements

ASSISTANT ENGINEER $3000 - $4700

(Commercial Kitchen Equipment)

Perform deliver, installation, service, troubleshoot, repair and maintenance of commercial kitchen equipment & other works related

1. Perform various types of commercial kitchen equipment installations, commissioning,

modification, troubleshooting, repair, servicing, other technical support, on-site training and

ensure that it is safe, reliable and efficient.

2. Good knowledge on various types of commercial kitchen equipment, electronical,

mechanical and refrigeration.

3. Provide training to customers on product usage and maintenance.

4. Ability to read and comprehend wiring diagrams, and to follow manuals on operation and

installation to successful complete tasks.

5. Ability to quickly understand and carry out both written and oral instructions on technical

advice effectively.

6. Ensuring all works compliance with appliance standards and Health and Safety Act.

7. Ensure adherence to company standards and customer satisfaction.

8. Submission of daily work report.

9. Other ad hoc duties.

10. Valid Driver’s License with a good driving record to operate a commercial vehicle.

11. 3 years or above relevant experience in same/similar industry. (Commercial

Kitchen Equipment)

12. Good physical condition.

13. Willing to work overtime on Sunday & Public Holiday.

14. Working hours : Mon-Fri : 9am-6pm, Sat : 9am-1pm

* Please note that only selected candidates will be notified

Responsibilities

• Design and coordinate power distribution, PLC, SCADA and Facility Control & Monitoring Systems (FCMS).
• Prepare single-line diagrams, control philosophies and IO schedules.
• Review vendor and subcontractor submissions.
• Support construction, FAT, SAT and commissioning activities.
• Participate in multidisciplinary design reviews.
• Design LV power distribution systems.
• Perform load calculations and cable sizing.
• Prepare and review single line diagrams.
• Coordinate with utility and equipment vendors.
• Support construction and commissioning activities.

Requirements

• Diploma or Degree in Electrical, Instrumentation, Automation or related Engineering discipline.
• Experience in industrial, cleanroom or semiconductor facility projects.
• Familiar with engineering design and site execution

Good to Know

• Power Distribution Systems
• PLC Programming
• SCADA Systems
• FCMS / BMS
• Instrumentation & Control
• SEMI Standards
• FAT / SAT / Commissioning

As a Senior IT Engineer (Cloud & Microsoft 365), you will be responsible for designing, implementing, and managing cloud, Microsoft 365, and hybrid infrastructure environments. You will play a key role in ensuring the availability, security, and performance of IT systems while supporting the organization's cloud transformation and digital workplace initiatives.

Key Responsibilities

• Design, implement, and support cloud, Microsoft 365, and hybrid infrastructure solutions.
• Administer Microsoft 365 services, including Exchange Online, Teams, SharePoint, OneDrive, and Entra ID.
• Manage Intune, endpoint security, Conditional Access, and MFA policies.
• Plan and execute cloud and Microsoft 365 migration projects.
• Monitor, maintain, and optimize the performance, availability, and security of IT systems.
• Administer Windows Server, Active Directory, virtualization, and related infrastructure services.
• Implement backup, disaster recovery, and business continuity solutions.
• Troubleshoot and resolve complex infrastructure, cloud, and Microsoft 365 issues.
• Automate routine tasks using PowerShell and other administration tools.
• Maintain technical documentation and standard operating procedures.
• Provide technical guidance to junior engineers and support project delivery.
• Ensure compliance with security policies, industry standards, and best practices.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

Employment Term: 1 year contract (subjected to extension)

Work Location: Sengkang

Responsible for Testing and Commission (T&C) along with technical support of electrical/signalling system for SPLRT Phrase 3 Project (C810D).

• T&C works associated with LRT electrical/signalling system

• Assist to prepare and review T&C procedures and checklists

• Perform and supervise testing and commissioning work as per approved procedures

• Assisting in troubleshooting and rectification of faults during T&C

• Communicating effectively with the T&C manager, design engineers, site supervisors, project manager, and other internal stake holders.

• Communicating effectively with various external stake holders e.g. other contractors (System Wide Contractors), Subcontractors, SBST, LTA.

• Any other ad-hoc works assigned by project

manager and commissioning manager

Job requirements

• Degree/Diploma in Electrical/Electronics/Telecommunication

• Minimum 2-3 years of Electrical T&C experience (MRT/LRT T&C experience in

signalling/electrical will be preferred)

• Should be conversant with electrical/control/signalling system (MRT/LRT electrical/signalling system knowledge will be advantageous)

• Should be keen to learn MRT/LRT electrical /signalling system

• Able to work in night shifts

• Strong commitment to the job

• Should be conversant with LTA’s regulations

• Ability to work as a team with motivation

• Proven ability to consistently get results and achieve time-sensitive goals

• Ability to flexibly adapt to change and challenges, ability to work calmly under pressure and exercise good judgment

• Effective communication skills both verbally and in writing with multiple stakeholders including superiors, colleagues, contracted staff, and individuals both inside and outside the organization.

• Effective analytical and problem-solving skills.

• Able to operate computer programs under Windows such as: MS Office

What’s in It for You?

Join an Industry Leader | MNC/Listed, Established & Respected

Competitive Salary: : Up to $5000+ AWS + Bonus

Work-Life Balance OR Work Schedule: 8 AM - 5.30 PM (Mon – Fri)

Work Location: Tuas (Shuttle service provided-Tanah Merah Mrt)

Your Role, Your Influence:

Responsibilities:

• Monitor real-time system events and alerts, ensuring timely detection and escalation of issues.

• Coordinate response activities, including activating support teams and tracking incident resolution.

• Act as first responder for system defects and perform initial troubleshooting.

• Support communication and coordination via calls and group channels for incident management.

The Ingredients for Success:

• Diploma or Higher Nitec in Infocomm Technology or related field.

• Comfortable working 12-hour shifts, including weekends and public holidays (based on roster).

• Prior experience in a Network Operations Centre (NOC) is an advantage.

Click Apply Now to upload your updated Resume/CV, and take the first step toward an exciting new career!

Only shortlisted candidates will be contacted.

TEH SIEW YING

Registration No: R21103305

EA Licence no.: 14C7121

We are looking for a n IT infrastructure / support engineer with strong Windows-Linux systems knowledge, CCNP-level networking skills, and experience in server operations, virtualization, and enterprise IT support.

As this role will work closely with counterparts in China, fluency in Mandarin is required.

Responsibilities:

• Provide desktop IT support for company employees, including system installation, troubleshooting software and hardware issues, configuring office peripherals, and managing user accounts and access permissions.
• Operate and maintain Windows/Linux physical and virtual servers, including deployment, routine inspections, patch updates, data backup, and emergency incident handling.
• Troubleshootnetwork issues and perform basic configuration of routing and switching devices;requires NP-level networking knowledge.
• ManageIT assets and maintain operation logs and incident reports; implement standardizedIT operations procedures.
• SupportR&D teams in building development environments; familiar with mainstream virtualizationsetup, daily maintenance, and troubleshooting.
• Coordinate with internal teams and local vendors to ensure stable operation of IT systems.

Requirements:

• Bachelor's degree or above in Information Technology, Computer Science, or related fields.
• Solid hands-on experience in desktop support and server operations.
• Knowledgeof NP/CCNP-level networking, familiar with VLANs, routing & switching, and basicfirewall operations.
• Proficientin Windows and Linux systems; understanding of mainstream virtualization technologies.
• Experiencein cluster maintenance is an advantage.
• Goodcommunication skills, strong service mindset, and ability to independentlyhandle various IT issues

Job Summary

The T&C (Testing & Commissioning) Engineer will lead testing and commissioning activities for large-scale industrial and solid waste management projects, ensuring operational readiness and compliance with project specifications.

Responsibilities

• Lead and execute testing and commissioning activities for large-scale solid waste management projects including Waste to Energy (WTE), sludge incineration, materials recovery, and food waste treatment facilities
• Apply engineering expertise to operate and validate systems in industrial/process/utilities projects such as waste, water, oil & gas, and power sectors
• Collaborate with project teams to ensure testing and commissioning meet technical and safety standards
• Manage schedules and resources to complete testing and commissioning within project timelines
• Troubleshoot and resolve technical issues during commissioning to ensure system functionality and reliability

Required competencies and certifications

• Hold an EICA certification
• Possess at least 5 years of hands-on experience in testing and commissioning of large-scale solid waste management or industrial/process/utilities projects
• Have a relevant engineering degree or certification

Other Information

• Location: Tuas
• Working Days: 5.5 days per week (Mon to Fri: 8.30am to 5.30pm; Sat: 8.30am to 12.30pm, alternate Saturdays)
• Contract Duration: 2 years
• Salary: $10,000 per month
• Benefits: 2 months gratuity upon completion of 2 years
• Availability: Able to commence ASAP
• Shortlisting: Shortlisted candidates will be invited for interview