This role focuses on building, integrating, and automating security systems to strengthen detection and response capabilities across on-premise, cloud, and network environments.

Core Responsibilities

1. Design, implement, and integrate security tools across enterprise environments

2. Build and maintain telemetry pipelines into SIEM and detection platforms

3. Support onboarding of systems into security monitoring

4. Implement and manage vulnerability scanning and remediation workflows

5. Work with SOC teams to translate operational gaps into engineering improvements

6. Support incident response and post-incident remediation

Core Requirements

1. Degree in Cybersecurity, IT, Computer Engineering or related field

2. At least 5 years of experience in Security Engineering, DevOps, or platform engineering

3. Experience with enterprise security technologies (e.g. SIEM, SOAR, EDR, cloud security)

4. Proficiency in scripting or automation (e.g. Python, PowerShell)

5. Strong understanding of networking and security telemetry

6. Experience implementing or integrating security platforms (e.g. SIEM, telemetry, cloud security tools)

7. Experience working in multinational or large enterprise environments

8. Ability to deliver engineering outcomes independently

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

BIM / Revit Engineer

Location: Singapore

Employment Type: Full-Time, Office & Site-Based

About the Role

We are seeking an experienced BIM / Revit Engineer to join our engineering team. The role focuses on developing and managing BIM models, supporting design coordination, and integrating digital engineering workflows. Candidates with strong hands-on skills in 3D scanning, Revit modeling, and site-based BIM execution are highly encouraged to apply.

Key Responsibilities

· Develop and manage Revit models for MEP, architectural, structural, and process systems.

· Convert 3D laser scans of existing facilities into Revit models for design and coordination.

· Carry out site checking and verification to ensure BIM models reflect actual conditions.

· Monitor site progress and update models to capture construction changes.

· Produce and deliver accurate as-built drawings from coordinated BIM models.

· Perform BIM-based analysis, including exhaust pressure loss calculations and airflow studies.

· Prepare Bill of Quantities (BOQ) and data extraction directly from BIM models.

· Conduct clash detection, coordination reviews, and model validation.

· Maintain BIM execution plans, modeling standards, and data accuracy.

· Collaborate with engineers, contractors, and site teams to integrate updates and resolve conflicts.

· Provide visualization models and as-built BIM deliverables to support client handover.

Requirements

· Formal BIM / Revit certification or training (ITE / Polytechnic / Professional BIM courses).

· Minimum 5 years of practical experience in BIM/Revit modeling for MEP or building services projects.

· Strong skills in Autodesk Revit, Navisworks, AutoCAD; BIM360 or equivalent collaboration tools a plus.

· Experience in 3D scan-to-BIM conversion of existing facilities is highly advantageous.

· Ability to carry out exhaust/duct pressure loss calculations using BIM tools.

· Proven experience in quantity take-off / BOQ preparation from BIM models.

· Strong experience in site checking, monitoring progress, and producing as-built drawings.

· Familiarity with Singapore BIM standards (BCA, SS CP83, ISO19650) preferred.

· Experience with data exchange platforms (preferably BIM360 Docs and BIM360 Collaborate Pro) for storage and exchange of design information, including design reviews, markups, comments, 2D drawings, and 3D CAD model viewing.

· Good communication and teamwork skills to work in multi-disciplinary project teams.

What We Offer

· Opportunity to work on semiconductor, cleanroom, and high-tech facility projects.

· Exposure to advanced BIM workflows, 3D scanning, and digital twin applications.

· Career progression into BIM Coordinator / BIM Manager roles.

· Structured training and continuous upskilling.

· Competitive salary package with project allowances.

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Robotics%29/33299-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•             Robot design.

The candidate is expected to assist in the design, fabrication, and testing of a novel robotic system based on application-related specifications.

•             Robot experiments.

The candidate is expected to support the definition of experimental protocols, in terms of trials and parameters to measure, to help with the experimental set-up, experimental validation, performance testing, and iterative improvements of developed prototypes and with the recording and analysis of experimental results.

•             Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.

•             Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.

•             Present research findings at international workshops, conferences, and internal project meetings.

•             Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Qualifications

•             Mechanical Engineering degree

•             Robotics expertise: knowledge of robotics and soft robotics fundamentals, skills for robot design.

•             Research experience, even as a student, including skills for experimental research and paper preparation.

•             Hands-on experience in robotics, soft robotics, or interactive systems.

•             Proficiency in CAD software, prototyping, and mechatronics.

•             Ability to work collaboratively in a multidisciplinary team environment.

•             Strong problem-solving skills and creativity.

• Job description:

1. System hang、BSoD(Blue Screen of Death)、Black Screen issue analyze.
2. System compatibility and Stability issue clarify.
3. Cross function (BIOS、FW、EE、Power、Factory、QA) cooperation.

• Job Requirements:

1. Bachelor's degree or above in Electrical Engineering/ Computer Engineering/ Computer Science/ Information Management of related fields.
2. Minimum 1 year experience of PC industry.
3. This position will require communication with colleagues in Taiwan, so it will require communicating in both English and Mandarin.
4. Well understand x86 PC architecture.
5. Familiar with Microsoft Windows operation.
6. Have Microsoft windows and device driver knownledge study (ADK, WPA ETL).

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

3.Researches the physical design methodology of advanced process nodes, and improvise the automatic physical design platform.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 5 years of work experience in the digital backend design field. Hands-on project experience is required. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivated, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in infrastructure migrations, you will partner with technical sales teams and other CEs to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins for the migration of complex, enterprise workloads, in partnership with platform CEs, Google Cloud Consulting, and partners. You will leverage your expertise in our most strategic product areas to direct migrating pilot workloads as proof-of-concepts and demos to sell complex migrations of large enterprise workloads to customers. You will solve migration-centered customer issues and provide a critical feedback loop to influence customers, partners and product development. With your organizational, communication, and presentation skills, you will engage with customers to understand their business and technical requirements, and present practical and useful solutions to facilitate and de-risk the migration to Google Cloud.

Qualifications

Job responsibilities

• Drive the technical win for complex workloads within migrations to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing pre-sales role.
• Experience with enterprise architectures and migration strategies for technologies such as cloud to cloud or on-premises to cloud.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Experience with data centers consolidation, relocation, migration, or virtualization projects.
• Experience in migrating, architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in configuration management (e.g., Puppet, Chef, CFEngine, Salt), and functional operations of server, storage, and network functions.
• Experience with networking concepts (e.g., Routing, VPNs, load balancers, and firewalls).
• Experience migrating Linux workloads across private, public, or hybrid cloud environments.
• Experience with enterprise approaches for business continuity, disaster recovery, and backup and restore.

Responsibilities:

• Analyze requirements, design, develop and test, implementation, optimization.
• Document design specifications, user acceptance test and release.
• Involved in user/vendors discussion and brainstorming session if required.
• Data integration from various sources.
• Enhance on existing applications or develop new applications.
• Ensure project delivery timely and status update to project manager and stakeholders.

Requirements:

• Bachelor's degree in Electrical Engineering, Mechanical Engineering or a related field.
• Minimum of 2 years of experience in automation engineering, preferably in the semiconductor manufacturing industry.
• Familiarity with Manufacturing Executive Systems (MES) like SiView.
• Experience in SECS/GEM development.
• Experience with .NET Framework, C#/VB.NET, Oracle, MS SQL, PL SQL, Web Services/Web API, ASP.NET, HTML5.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33282-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Product area

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Job description

As a Customer Engineer in the technical sales team, you will be supporting the enterprise segment. You will equip companies with Google tools to make technology at work more simple, secure and shareable. You will inspire leading companies and government agencies to work smarter with cloud or web first strategies through Chrome Enterprise and take advantage of advanced enterprise capabilities for administrative controls.

Qualifications

Job responsibilities

• Act as the primary platforms and devices enterprise solutions technical lead on key accounts. Bring together cross-functional agreement team members to design and execute comprehensive technical sales strategies and opportunity technical win plans.
• Work with the sales team to guide and accelerate the transition of leading companies, partners and government agencies to Chrome Enterprise, which encompasses Chrome Enterprise Premium, Chrome Operating System (OS), and their collective management tools.
• Identify key customer technical objections and develop the strategy to resolve technical impediments.
• Provide proactive consultation and strategic guidance for utilizing scalable enablement and funding programs to accelerate proof-of-concepts and pilots.
• Own the technical sales motion to accelerate new bookings, upsells, and expansions across the core enterprise portfolio (Chrome Enterprise Premium, ChromeOS, Cameyo, Pixel/AE, etc.).

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 10 years of experience in a customer-facing or technical project management role.
• 5 years of experience working with enterprise operating systems including Chrome.
• Ability to communicate in English and Mandarin fluently in order to communicate in this customer-facing role.
  

Preferred qualifications

• Experience in the following areas of IT infrastructure: networking (e.g., VPN, Wireless, protocols), identity management (e.g., SSO, SAML, ActiveDirectory), and security (e.g., VPN, firewalls).
• Experience with application delivery including: web application and integration (e.g., HTML5, JavaScript, CSS), VDI solutions (e.g., Citrix, VMWare, RDP), and mobile apps.
• Experience with managed endpoint devices (e.g., PC or mobile), and the growing ecosystem of browser-based applications and collaboration tools.
  
• Deep knowledge of Google Cloud Platform or Google Workspace solutions.

Fujitsu is seeking a dedicated and experienced Network Engineer to join our onsite network team. You will be an integral part of a team responsible for managing our customer Enterprise Networking Environment, which supports a large campus with diverse network equipment and services. You will work closely with the customer network team, vendors, and the Helpdesk team to ensure seamless network operations.

Responsibilities:

• Manage, administer, configure, and provide technical support for network equipment (switches, wireless APs, firewalls, DNS appliances, UPS) and services, including VLANs, ACLs, firewall rules, DNS, and IP address management.
• Install, maintain, and upgrade network hardware firmware/software; apply patches, hotfixes, and manage vulnerability remediation.
• Take ownership of network problems, troubleshoot and resolve issues related to hardware, software, and firmware, performing on-site support as needed.
• Conduct daily system checks, monitor network services availability, and contribute to network health checks by analyzing alerts, statistics, and performance data.
• Manage and document all network device configurations, changes, and ensure weekly automated backups.
• Record network service outages and follow up on outstanding technical issues with vendors to ensure resolution within Service Level Agreement (SLA).
• Liaise effectively with ISPs, other service providers, and internal teams on operational matters.
• Assist and work with vendors with cabling management, including patching, documentation, 1st level troubleshooting of connections, and ensuring correct configuration/labeling of new outlets.
• Provide support for wireless configuration and surveys.
• Maintain comprehensive network documentation (diagrams, topologies, issues) and assist in proactive monitoring and monthly reporting for network resources.
• Conduct annual asset verification, track equipment movements (deployment, RMA, relocation, decommissioning), and update inventory records.
• Participate in network implementation and migration projects as required.
• Assist in supporting operational requirements such as power maintenance shutdowns, periodic system audits, and service validation.
• Adhere strictly to policies, rules, regulations, and IT security policies in all operational aspects.
  

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years’ experience as a Network Engineer supporting large campus network
• Strong analytical and problem-solving skills
• Self-motivated with a strong sense of ownership
• Possesses a valid CCNA certification
• Certification in PCNSA/PCNSP is a plus

Job Overview:

We are seeking a Civil/Design Engineer to join our dynamic team in overseeing and contributing to the civil engineering aspects of our renewable energy and energy storage projects. This role involves collaboration with Civil & Structural (C&S) consultants, ensuring compliance with local regulations, and the seamless execution of engineering designs and construction processes. As part of a growing company in the renewable energy sector, you will have the opportunity to work on innovative projects that have a real impact on sustainability.

Key Responsibilities:

· Liaison with Consultants:
Collaborate with Civil & Structural (C&S) consultants to develop structural schemes and perform engineering analyses, ensuring that designs meet project requirements and industry standards, while contributing to the timely completion of projects.

· Civil Design Work:
Participate in the design and development of civil engineering aspects for the renewable energy and energy storage projects, such as infrastructure, drainage, site preparation, and earthworks.

· Project Oversight:
Oversee the design and implementation of civil engineering elements of projects, ensuring compliance with industry standards, BCA regulations, and SCDF safety requirements.

· Coordination and Communication:
Act as a key point of contact for clients, internal teams, and relevant authorities, coordinating between multiple stakeholders to ensure smooth project execution and effective communication on project timelines, milestones, and deliverables.

· Project Meetings & Site Coordination:
Attend and contribute to project meetings and site visits, providing technical input and identifying solutions to engineering challenges, ensuring work is completed as planned and to a high standard of quality.

· Compliance and Safety:
Ensure that construction processes, site activities, and safety protocols align with local regulations and company standards, promoting a culture of safety across all stages of project development.

· Technical Documentation:
Prepare and review technical documentation, including drawings, reports, and specifications, to ensure accuracy and compliance with project requirements.

Requirements:

· Education:
Minimum ITE/Diploma/Higher Certificate in Civil Engineering or a related field.

· Experience:
At least 2 years of working experience in civil/structural design or a consultancy company within the construction or engineering sector, with preference for experience in renewable energy or related projects.

· Knowledge of Regulations:
Familiarity with construction processes, local regulations, BCA, SCDF, and safety requirements.

· Additional Qualifications:
Possession of a Specialist Diploma in Construction Productivity (SDCP) is a plus.

· Software Skills:
Proficient in Microsoft Office applications and civil engineering software/tools (e.g., AutoCAD, Revit, Civil 3D).

· Problem-Solving Skills:
Strong analytical, problem-solving skills with the ability to work independently and in collaboration with diverse teams.

· Language Requirements:
Fluent in both English and Mandarin (spoken and written) to liaise with colleagues, clients, suppliers, and vendors in Singapore and China.

· Travel Flexibility:
Willingness to travel overseas (including China and project sites in Asia) for training or project requirements.
Required to be at construction site during construction stage of projects

Responsibilities:

• Understand & familiarize with the process, practices and ITSM platform related to Support Operations

• Man Ticketing Platform and Support Email during office hours, gather relevant information from customer during initial call.

• Ensure that all correspondence with customers is performed in a prompt and courteous manner.

• Work with vendors, clients, carriers and technical staff on maintenance, optimization, and security of Cisco Unified Communications (UC) system.  This includes but is not limited to troubleshooting infrastructure and services including CUCM, Unity, IMP, Jabber, Voice gateways, UCCX, PCCE, Webex CC,Webex Calling, Telepresence, Expressway, CMS and all other UC application.

• Take ownership/leadership during remediation and troubleshooting sessions. Provide remediation direction, insight and/or recommendations to drive resolution.

• Identify opportunities for expanding the use case, features, and functionalities of the existing system

• Stay updated with the industry trends, new product and services, security issues, and any other information related to the UC system

• Develop and maintain user guides, technical guides, project plans and any other system related documentation for respective system.

• Support for 3rd party integration (Verint, Nexlab, Efax, SMS Gateway, Calabrio, etc..) with the Cisco Systems.

• Adhere to the design, programming, and application standards as setup by the company. Including compliance with all firm and departmental policies and procedures

• Maintain detailed knowledge (and be sensitive) of clients’ environments, where applicable, by maintaining and updating relevant documentation.

• Perform onsite/remote site surveys and/or inventory audit for selected customers.

• Responsible for opening and closing of support tickets when applicable and providing timely updates to user for support cases that has been allocated to you

• Work closely with various team of engineers (internal & external) for troubleshooting.
   

Qualifications:

• Experience Managing & Troubleshooting UC & Contact Centre Solutions

• Experience working with CUCM, Unity Connection, Cisco IMP, Jabber, Expressways, UCCX, CMS, Webex CC, UCCE & PCCE is a must

• Knowledge of Cisco Telepresence (Endpoints, VCS, MCU, TMS, TCS, etc and VC endpoints (MX, DX, SX, Webex Boards, Room Kit)

• Knowledge of handling wireless endpoint (Cisco Wireless Phone 8821, 840, 860)

• Strong knowledge of DNS, TFTP, DHCP including end to end integration with Unified Communications Platform

• Knowledge in SSL Certificate regeneration, renewal and certificate lifecycle management.

• Experience working with Cisco Voice Gateways (ISR G2 / 4K), CUBE

• Experience working with MGCP, H.323 and SIP implementation within voice network

• Experience in troubleshooting Voice routing and call quality issues.

• Deep knowledge for Advanced CUCM Dial Plan

• Experience of 3rd part application integration with CUCM.

• Knowledge of advanced Cisco voice troubleshooting and resolution.

• Knowledge of Voice recording system (AQM/Calabrio/Verint etc)

• Graduates in relevant fields of studies (IT, Infocomm, Comp Science, Etc..)

• Candidates with the relevant certificates (eg. CCNP/CCIE Collab) are preferred.

• Looking for candidates will a strong interest/passion to learn and grow in the technology space.

• Candidate should be customer oriented and able to communicate in a clear and concise manner.

• Candidates should be willing to perform after office hours activities and standby duties

Interested applicants please submit your application with your expected salary and notice period to be considered for the role.

We regret that only shortlisted candidates will be notified.

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