Total 6,742 structural engineer job vacancies in Engineering category in Hong Kong

• Lead cross‑functional engineering teams in the development and execution of electrical, control, and automation capabilities.
• Define system architectures and technical standards for electromechanical platforms.
• Oversee design, integration, testing, and validation across the product lifecycle.
• Work closely with cross‑functional teams to support product delivery and continuous improvement.

Requirements:

• Degree in Electrical / Electronic Engineering or equivalent.
• Minimum 10 years of relevant experience in industrial automation, precision equipment, or related high‑technology industries.
• Strong expertise in motion control modelling and control algorithms for ultra‑high‑speed and high‑accuracy applications.
• Proficiency with analytical and simulation tools (e.g. MATLAB, MathCAD), including experience with C/C++ programming for real‑time control and understanding of mechanical system integration.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Responsibilities:

• Design, develop, and maintain backend services and APIs for global products using Java.
• Build a high-performance, highly available, and secure backend system to provide robust support for BigPay Fiat business operations.
• Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation, and refinement.
• Develop and maintain tools, re-designing capacity planning infrastructure for greater scalability.
• Troubleshooting, diagnosing, fixing software issues, and ensuring data security, and end-to-end system architecture.

Responsibilities:

• Minimum of 7 years of experience in software development and architecture.
• Strong expertise in Java and backend frameworks (e.g., Spring Boot, RESTful APIs)
• Experience with databases (SQL and/or NoSQL), messaging systems (e.g., Kafka, RabbitMQ), and microservices architecture
• In-depth understanding of Linux and computer networks.
• Experience in profiling, benchmarking and optimizing ML applications
• Middleware:
• Java code development experience, preferably Apache open source project developers
• Experience in high availability, high performance, and resource optimization.

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

Key Responsibilities

• Oversee and provide technical support for automation, fabrication, and manufacturing activities to ensure efficient production operations.

• Carry out machine assembly, installation, commissioning, troubleshooting, and maintenance tasks in a hands-on capacity.

• Assist with fabrication work, including equipment modifications, mechanical fitting, and production machinery setup.

• Diagnose and resolve automation, electrical, pneumatic, and mechanical issues to reduce downtime and enhance operational performance.

• Collaborate closely with production teams to maintain smooth equipment operation and uninterrupted manufacturing processes.

• Execute preventive and corrective maintenance programs to maximize equipment reliability and operational efficiency.

• Participate in continuous improvement initiatives and automation projects aimed at increasing productivity and minimizing process disruptions.

• Interpret technical drawings, engineering specifications, and electrical schematics to support equipment installation, maintenance, and troubleshooting activities.

• Conduct testing, calibration, and validation of automation systems and production equipment to ensure optimal functionality.

• Adhere to workplace safety regulations, operational procedures, and production quality standards.

Requirements

• Diploma or Bachelor's Degree in Automation Engineering, Mechatronics Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.

• Solid practical experience and technical expertise in automation systems, machine assembly, fabrication activities, and manufacturing operations.

• Strong troubleshooting and problem-solving skills across mechanical, electrical, pneumatic, and automation systems.

• Ability to read and interpret engineering drawings, technical documentation, and electrical schematics.

• Familiarity with preventive maintenance practices and continuous improvement methodologies within a manufacturing environment.

• Hands-on experience in machine installation, commissioning, and production equipment maintenance is highly preferred.

• Certifications or specialized training in PLC programming, industrial automation, equipment maintenance, or fabrication techniques will be considered an advantage.

If interested, please submit your application to cvs@jdawms.com with your expected salary and resume.

We regret that only short-listed candidates will be contacted shortly. By submitting your application or resume, you agree to the collection, use, retention, and sharing of your personal information with potential employers for their assessment.

JDA WMS Pte Ltd | EA Personnel: Pham Thi Tuyet Mai 

EA License No: 23S1595 | EA Registration No: R25127838

Job Overview

We are looking for an experienced Senior Desktop Engineer to support and manage end-user computing environments in a structured enterprise setting. This role is responsible for ensuring smooth day-to-day IT operations, resolving escalated technical issues, and maintaining desktop infrastructure standards.

The successful candidate will provide Level 2/Level 3 support, oversee endpoint lifecycle management, and collaborate with infrastructure and security teams to ensure system reliability and performance.

Key Responsibilities

• Provide advanced technical support for desktops, laptops, printers, mobile devices, and related peripherals
• Manage installation, configuration, and maintenance of Windows operating systems and enterprise applications
• Administer Active Directory, user accounts, group policies, and access permissions
• Troubleshoot complex hardware, software, and network connectivity issues
• Manage endpoint deployment, imaging, and patch management activities
• Support Microsoft 365 applications and email systems
• Maintain IT asset inventory and ensure compliance with internal IT policies
• Coordinate with vendors for hardware repairs and support services
• Prepare technical documentation, SOPs, and knowledge base articles
• Support IT projects such as system upgrades, device rollouts, and workplace transformation initiatives
• Provide mentorship and guidance to junior support engineers when required

Requirements

• Diploma or Degree in Information Technology, Computer Science, or related discipline
• Minimum 4 to 6 years of experience in desktop support or end-user computing environment
• Strong knowledge of Windows OS, Microsoft 365, and desktop hardware troubleshooting
• Hands-on experience with Active Directory and Group Policy
• Experience with endpoint management tools such as SCCM, Intune, or equivalent
• Good understanding of ITIL processes and structured IT support environments
• Strong problem-solving skills and ability to manage escalations independently
• Good communication skills and customer-focused mindset

Preferred Skills

• Experience supporting hybrid or cloud-based environments (Azure, AWS)
• Exposure to virtualization technologies such as VMware or Hyper-V
• Relevant certifications such as CompTIA A+, ITIL Foundation, or Microsoft certifications

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Are you a problem-solver at heart? Do you love getting to the root cause of customer business processing issues and finding ways to avoid them from happening again? At Unit4 Cloud Ops, we're looking for analytical, logical talents like you to join our team and help us build better solutions for our customers. With a structured approach, tools and processes, and the latest analytical and troubleshooting skills, you'll be equipped to solve problems quickly and effectively. You'll also have the opportunity to learn hot skills in the market such as Azure, DevOps, and troubleshooting - ranging from infrastructure, virtualization, operating systems, and the application stack.

Joining Unit4 Cloud Ops means you'll have access to all the resources you need to thrive and develop as a Cloud Ops professional. Our team of experts will mentor and guide you to become the best you can be.

COMPANY DESCRIPTION

Responsible for designing tester tools, negotiating with vendors for fabrication, and validating tester tools for large format printer production.

RESPONSIBILITIES

• Design tester tools for large format printer production
• Engage and negotiate with vendors for tool fabrication
• Validate tester tools to ensure readiness for production use
• Travel frequently to vendor sites for face-to-face discussions and tool buy-off
• Work with project stakeholders, starting with simpler projects under guidance
• Progress towards independently managing projects from design phase through to buy-off

• At least Diploma in Mechanical Engineering or equivalent.
• Preferably with at least 1 years in CAD experience
• Able to work independently
• Willing and able to travel frequently to vendor sites when necessary

Responsibilities

• Setup and troubleshooting of all PC/laptop, printers, print server, Windows XP, Windows 7, RFID scanner, Outlook client, VPN, MS Office, Anti-virus & in-house applications
• Managing of IT inventory
• Manage IT hardware requests and raise purchase requests when necessary
• Prepare proposals and presentations on assigned projects

Requirements

• Diploma or equivalent in IT or related discipline
• Minimum 1 year experience in IT support
• Knowledge in Microsoft Office, Outlook, Windows XP/7
• Knowledge in basic LAN/WAN network infrastructure
• Strong communication and interpersonal skills

Job Description
 

Design and implement algorithms for search, recommendation, or advertising systems to drive discovery and conversion across Goto products.

Build advanced user behaviour models and query/assortment understanding models using LLMs and LLVMs to improve matching accuracy between users, queries, and items across search and recommendation systems.

Collaborate with product, engineering, and business-facing data science teams to define problems, run experiments, and deploy solutions at scale.

Job Requirements

 Master’s degree or higher in Computer Science, Machine Learning, NLP, CV, or a related field; strong programming skills in Python, C++, or Java.

Hands-on experience with search/ recommendation/ads systems, with proven improvements to ranking, retrieval, or ad targeting models.

Familiarity with LLMs and/or LLVMs, with experience integrating them into search or recommendation pipelines a strong plus.

Demonstrated ability to innovate with new algorithms or tools and drive measurable impact, especially making use of Large language Models (LLMs) and Large Language and Vision models (LLVMs) in search modeling or recommendation modeling

Strong product intuition and ability to reason from user behavior data and traffic patterns. 

Good communication skills in English, both written and verbal.

Self-motivated, curious, and excited by the opportunity to build high-impact systems quickly.

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

• review electrical systems for generators, including control panels, wiring, and protection systems.
• ensure compliance with electrical codes, standards, and safety regulations
• coordinate with mechanical, production and commissioning teams to ensure timely project delivery
• prepare technical drawings, single-line diagrams and schematics
• prepare technical reports, specifications and electrical calculations
• strong knowledge of power generation, control systems and protection relays

About our group:

Sputtering is the heart of media process in recording media organization.  We are a dynamic team working in the world’s largest state-of-the art magnetic media manufacturing environment with highly automated processes, latest technology and advanced control systems.

We pride ourselves on delivering committed equipment performance and operational objectives through effective maintenance, technology, and innovation to help Seagate succeed.  Our team is made up of committed, talented, and friendly people passionate about our job, believing in people’s well-being and people’s development.

About the role - you will:

• Own and maintain sputter equipment performance
• Ensure equipment meets uptime, quality, and OEE targets
• Perform advanced troubleshooting and root cause analysis for equipment issues
• Drive maintenance excellence
• Develop, execute, and optimize preventive and corrective maintenance strategies
• Support reduction of unscheduled downtime through reliability improvements
• Technical problem solving & improvement
• Analyze process/equipment data to identify trends and improvement opportunities
• Implement engineering solutions to improve yield, uptime, and cost performance
• Support production operations
• Work closely with production, maintenance, and cross-functional teams to resolve issues
• Provide technical support during shift operations and critical tool recovery
• Process and equipment optimization
• Define and optimize process parameters and control points
• Support process qualification, engineering trials, and change implementation
• Documentation and system improvements
• Develop and update SOPs, PM procedures, and troubleshooting guides
• Participate in continuous improvement initiatives (Kaizen, cost reduction, automation)
• Compliance & safety
• Ensure adherence to safety, environmental, and audit requirements (e.g., RBA, internal audits)
• Maintain safe working practices in cleanroom environment
• Collaboration and knowledge sharing
• Provide technical guidance and mentorship to technicians and specialists
• Support structured training and effective knowledge transfer within the team
• Promote the adoption of AI-driven tools and digital solutions to enhance troubleshooting, predictive maintenance, and decision-making
• Encourage the use of AI for data analysis, pattern recognition, and continuous improvement initiatives

About you:

• Strong problem-solving capability with a structured approach to root cause analysis 
• Good data analysis, troubleshooting, and diagnostic skills, with exposure or interest in applying AI-driven insights for equipment performance improvement 
• Familiar with equipment control systems, automation, and standard engineering tools; knowledge or willingness to learn AI/analytics applications is an added advantage 
• A collaborative team player with strong communication and cross-functional engagement skills

Your experience includes:

• Degree or Diploma in Mechanical, Electrical, Mechatronics, or a related Engineering discipline 
• 2–5 years of relevant experience in equipment engineering or maintenance within semiconductor, media, or vacuum environment
• Hands-on exposure (through work, projects, or internships) in vacuum systems, sputter equipment, or thin film processing technologies will be an advantage 

Key Roles, Operational Responsibilities& Duties

· Responsible for the design, site supervision, coordination, and construction support of cleanroom facilities in high-tech manufacturing environments.

·Experience in semiconductor fabs or advanced technology facility construction is highly preferred.

·Proficient in cleanroom system design, construction management, commissioning schedule integration, cross-functional coordination, and compliance with Singapore regulatory inspection and approval processes.

·Possesses in-depth knowledge of cleanroom classification standards (ISO Class 1–9), airborne particle control, AMC (Airborne Molecular Contamination) filtration, and FFU (Fan Filter Unit) systems.

· Familiar with cleanroom architectural components, including raised access floors, ceiling grid systems, and partition walls, as well astheir integration with structural systems.

Job Requirement

· Diploma or Bachelor’s degree in Mechanical Engineering, Fire Engineering, Building Services, or related disciplines.

· Minimum 3–5 years of site experience in Clean Room systems for semiconductor fabs, ATFBO facilities, or industrial construction projects.

· Proficient in both English and Chinese

· Strong hands-on experience in on-site supervision of fire protection system installations.

· Familiar with Singapore fire safety requirements, codes, and authority inspection processes administered by Singapore Civil Defence Force (SCDF).

· Knowledge of fire protection testing, commissioning, and authority inspection workflows is an advantage.

·Able to work independently on site, and coordinate effectively with project teams, contractors, system vendors, and Clients.

·Willing to work in a site-based and shift-based environment, as required by the project.

Key Responsibilities:

• Design, engineer, and automate the lifecycle of OpenShift clusters, treating infrastructure as software.
• Develop robust automation for cluster provisioning, upgrades, and scaling using Ansible, Terraform, or Python.
• Implement and maintain OpenShift components such as OVN-Kubernetes networking and OpenShift Data Foundation (ODF) storage.
• Engineer reliability and performance optimizations to ensure high availability of the container platform.
• Implement GitOps workflows for cluster configuration management.

Requirements:

• Experience: Intermediate: 3+ years
• Strong expertise in Red Hat OpenShift and Kubernetes internals.
• Proficiency in scripting and automation using Bash or Python.
• Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Knowledge of storage (Ceph/ODF) and networking (SDN, OVN) in a containerized environment.
• Familiarity with GitOps principles and tools.

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900