Total 14,417 technical engineer job vacancies

Duties:

• Drive the execution of sales plans to meet revenue and growth targets.
• Cultivate and maintain strong client relationships to enhance satisfaction and long-term retention.
• Proactively source and develop new business opportunities and leads.
• Lead technical engagements and deliver product presentations to key stakeholders, including procurement and R&D teams.
• Manage commercial negotiations, including pricing, contracts, and delivery terms, in accordance with company policies.
• Partner cross-functionally with logistics, technical, and finance teams to ensure seamless order fulfillment and timely collections.
• Analyze market trends, competitor movements, and customer feedback to provide strategic insights to management.
• Ensure accurate tracking of sales activities, pipeline, and forecasts through CRM systems.

Requirements:

• Min 2 years of sales experience
• Diploma in Education

Interested Applicants, please click Apply Now

Chow Zi Qing
R2199258
Revup Proservices Pte Ltd
EA.24C2366

• Good AWS Cloud exposure hands-on for 3-5 years
• Basic Knowledge on Container environment (ECS, EKS)
• Provide technical support and troubleshooting for cloud-based infrastructure and services, including compute, storage, networking, and security components.
• Collaborate with application, security, and other internal teams to resolve complex issues related to cloud-based services and infrastructure.
• Monitor and maintain the health, performance, and security of cloud-based services, proactively identifying and addressing potential issues.
• Drive continuous improvement and optimization of cloud infrastructure and services through automation, ensuring high availability, performance, and cost efficiency.
• Implement and manage cloud security controls, compliance requirements, and best practices to protect cloud resources and data.
• Develop and maintain documentation, best practices, and standard operating procedures for cloud-based infrastructure and services.
• Participate in the planning, implementation, and optimization of cloud-based solutions, ensuring alignment with business requirements and industry best practices.
• Stay current with industry trends, emerging technologies, and best practices in cloud architecture, deployment, and operations.

Job Description:

. Overseeing the daily site activities and progress, planning, implementation and monitoring work schedules in accordance with the master and detailed work programmes.

· Coordinate with different departments concerning the site work activities.

· Work closely with sub-cons, highlight any work-related matters for team's discussion and solutions.

· Supervise works on-site for proper work execution and safety.

· Handle any engineering/technical issues.

· Prepare daily progress reporting and maintain records that are up to date.

Requirement:

· Minimum a Diploma / Degree in Civil/Mechanical Engineering or equivalent.

· Able to work independently with minimal supervision under tight schedule.

· Meticulous and good communication.

Responsibilities

• Manage and oversee the day-to-day construction activities of the project.
• Lead a team of operation staff in daily operations.
• Monitor and control the general workers' deployment on-site.
• Maintain and manage site storage areas for building materials and equipment.
• Maintain site access throughout the construction period.
• Planning ahead to prevent the problem on-site before it occurs, planning the delivery and storage of equipment and materials.
• Ensure progress of work is within budget and timelines as well as quality and safety objectives.
• Control and monitor work progress and resources.
• Monitor and control material wastage.
• In-depth understanding of project specifications, technical details, and construction drawings.
• Carry out work scheduling, material requisition planning, project coordination, and documentation.
• Ensure timely completion and good quality of works & carried out safely and WSHE regulations are complied with.
• Ensuring that the site works are completed with high quality standards and adhering to safety requirements throughout the project.
• Attend progress meeting, coordinate with the contractor, suppliers on all project implementation issues and attend site meetings when required.
• Report to the Project Director.
• Overall in charge of site coordination.

Qualifications and Education Requirements

• Education: Candidate must possess a Diploma or Degree in Civil Engineering
• Experience: Minimum 3 year of experience in construction industry in Singapore
• Proficient in reading and interpreting engineering drawings, specifications, and project plans
• Familiarity with construction methods, planning, materials, and equipment
• Ability to work in a team environment
• Work in a fast-paced and busy environment

Get to Know the Team

The Metrics Platform team is a team within Grab's Data Technology organization, with members across Singapore, Indonesia, Thailand, Vietnam and Malaysia. We build the central platform for metrics that enables Grabbers across the company to define, serve, discover, and consume trusted business and product metrics at scale. Our platform is an important foundational layer for Grab's AI-powered data ecosystem. By making metrics reliable, reusable, discoverable, and served across teams, we help power better analytics, experimentation, automation, and AI-assisted data workflows across Grab.

Get to Know the Role

The Senior Data Engineer role in the Metrics Platform team is a hybrid data and software engineering role. You will be an important member of the team that designs, builds, and operates Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs and several cross platform integrations. You will be responsible from technical design and implementation to rollout and production operations. You will contribute hands-on while guiding engineering quality through design reviews, operational improvements, and collaboration with partner teams.

You will report to the Senior Data Engineering Manager and will be based onsite at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• You will build platform capabilities that help teams model, publish, discover, and consume trusted metrics and data products across Grab.
• You will develop and improve platform services, APIs, metadata systems, query generation, and tooling used by metrics publishers and consumers.
• You will collaborate with engineering, analytics, and data science teams to onboard new use cases and integrate their systems with the metrics platform.
• You will improve the developer and data practitioner experience by building self-serve workflows, automation, documentation, and operational tooling.
• You will operate and optimize the core metrics serving infrastructure, including Apache Pinot, ingestion systems, and related cloud services.
• You will investigate and resolve platform reliability, performance, and correctness issues across the request, query, metadata, and serving layers.
• You will provide technical guidance to engineers and partner teams on platform design, data modeling, integration patterns, and operational best practices.
• You will use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.

Job Description

• Responsible for integration and implementation of both hardware and software engineering work
• Carry out proper planning, execution and supervision of the integration work and do QA technical checks throughout the project execution
• Handle application programme change management, hardware deployment management and documentation
• Implementation of PLC/SCADA project from concept to design and programming
• Interface with SCADA and PLC programming
• Meeting with clients, doing reports and documentation
• Perform troubleshoot independently

Requirements

• Min Nitec in Mechatronics, Electrical or Electronics
• Possess a Singapore Class 3 or 3A Driving License
• knowledge in PLC and SCADA

To submit your application, please apply online apply@rn-care.com or call +(65) 6514 9838 for 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

Job Description:

• Work toward achieving departmental goals related to revenue growth and profitability.
• Identify and develop new business opportunities to expand market reach.
• Prepare professional quotations, proposals, and preliminary system designs for clients.
• Contribute creative ideas and actionable recommendations to enhance sales results and strengthen brand visibility.
• Promote the company’s presence and reputation through effective sales and marketing initiatives.
• Build and maintain strong relationships with business partners and key stakeholders.
• Maintain up-to-date knowledge of security solutions and related technologies to provide high-quality client consultations.
• Support project management activities, attend site meetings, and communicate with clients as needed.

Job Requirement:

• Minimum Degree or equivalent qualification.
• Minimum3 year working experience in solution-based sales, preferably within the industry or similar

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for 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

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Mechanical / Precision Engineering or relevant
• Min 5 years of experience in Oil & Gas industry with experience in Supplier Quality
• Oversea travelling is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for 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

We are seeking a highly skilled Senior Process Integration Engineer to lead the development and optimization of Indium Phosphide (InP) based Edge Emitting Lasers (EELs). In this role, you will be the bridge between design and manufacturing, ensuring that our high-performance optoelectronic devices transition from concept to high-volume production with world-class reliability and yield.

You’ll be working at the frontier of photonics, handling complex material systems and sophisticated fabrication sequences to power the next generation of optical communications and sensing technologies.

Core Responsibilities

• Process Flow Ownership: Design, implement, and manage the full end-to-end fabrication flow for InP-based EELs (e.g., Fabry-Pérot, DFB, and DBR lasers).
• Yield & Performance Optimization: Identify and resolve integration bottlenecks. Use Statistical Process Control (SPC) and Design of Experiments (DOE) to improve device electro-optical performance (threshold current, wall-plug efficiency, and slope efficiency).
• Cross-Functional Collaboration: Partner with Epitaxy (MOCVD) teams to optimize regrowth interfaces and with the Design team to ensure Layout-to-Mask integrity.
• Advanced Fabrication Management: Oversee critical steps including dry/wet etching (ICP/RIE), dielectric deposition (PECVD/ALD), metallization etc.
• Failure Analysis: Coordinate Root Cause Analysis (RCA) on fabrication failures using SEM, TEM, and FIB diagnostics to drive continuous improvement.

Key Technical Requirements

• Materials Expertise: Deep understanding of III-V compound semiconductors, specifically the GaAs/InP/InGaAsP/material systems.
• Device Physics: Strong grasp of semiconductor laser physics
• Fabrication Proficiency: Hands-on experience or good understanding on photolithography, etching, thin film
• Characterization:  Understanding laser characterization data and correlating results back to specific process modules.

Qualifications

• Education: PhD or Master’s degree in Electrical Engineering, Physics, Materials Science, or a related field.
• Experience: 5+ years of direct experience in III-V semiconductor processing
• Software: Proficiency in JMP, or Python for data analysis;
• Mindset: A methodical troubleshooter who thrives in a cleanroom environment and enjoys the "detective work" of process integration.

Description

We are seeking an AI Engineer with strong hands-on experience in Microsoft Azure AI services to design, develop, and deploy AI-powered solutions. The role focuses on leveraging Azure-native AI capabilities, data services, and machine learning tools to build scalable and production-ready intelligent systems.

Key Responsibilities

Design and implement AI solutions using Azure AI services

Build and deploy machine learning / AI models on Azure cloud

Develop APIs and services to integrate AI capabilities into enterprise applications

Work with structured and unstructured data for model training and inference

Collaborate with business and technical teams to define AI requirements

Deploy, monitor, and optimize AI solutions in Azure environments

Ensure performance, scalability, and reliability of AI systems

Support troubleshooting and enhancement of existing AI solutions

Required Skills & Experience

Hands-on experience with Microsoft Azure AI / Azure Machine Learning

Strong understanding of AI/ML concepts and model lifecycle

Experience deploying and consuming models via APIs

Strong programming skills in Python / Java / similar languages

Experience working with data pipelines and data processing

Knowledge of REST API integration and system design

Good to Have

Experience with Azure services (App Service, Functions, AKS, Data Factory)

Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)

Exposure to MLOps practices (CI/CD for ML models)

Experience with cloud monitoring and logging tools

Understanding of model evaluation and performance tuning

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile teams

Eagerness to learn and adapt to new cloud AI technologies

About the Role
We are looking for a Junior to Mid-Level ML Engineer to join the Model Engineering team. This role is suited for someone who enjoys working hands-on with computer vision models and understands models as systems to be trained, evaluated, improved, and optimised. You will work across the model lifecycle, including dataset preparation, architecture development, model training, evaluation, performance analysis, and optimisation for real-world computer vision applications.

Responsibilities

• Train, fine-tune, and evaluate computer vision models for classification, object detection, segmentation, pose estimation, and action recognition.
• Improve model performance through architecture enhancements, custom heads, backbone modifications, loss functions, and training strategy optimisation.
• Design experiments, conduct ablation studies, benchmark new techniques, and analyse model trade-offs.
• Investigate edge cases, debug failure cases, and improve model accuracy, robustness, and efficiency.
• Optimise models based on practical constraints such as latency, throughput, resource usage, and hardware limitations.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models.
• Strong hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.
• Experience with computer vision tasks such as classification, object detection, segmentation, pose estimation, or action recognition.
• Experience modifying models beyond configuration-level changes, including architectures, backbones, heads, loss functions, or training pipelines.
• Experience designing experiments, conducting ablation studies, analysing model performance, and debugging failure cases.
• Familiarity with multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with model optimisation techniques such as quantisation, pruning, or distillation.
• Familiarity with experiment tracking, reproducibility, and structured machine learning workflows.

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.

Responsibilities:

• Manage and oversee structured cabling projects, particularly in data center environments
• Coordinate with clients, contractors, and internal teams to ensure smooth project execution
• Plan, schedule, and monitor project progress to meet deadlines and budget requirements
• Review technical drawings, cable layouts, and design specifications
• Ensure installation works (copper & fiber optic cabling) meet industry standards and client requirements
• Conduct site inspections, testing, and commissioning activities
• Troubleshoot and resolve technical issues during project execution
• Prepare project documentation, reports, and handover materials
• Ensure compliance with safety regulations and company policies

Requirements:

• Diploma or Degree in Electrical Engineering, or related field
• Minimum 2–5 years of experience in structured cabling or data center projects
• Strong knowledge of structured cabling systems (e.g., Cat6/6A, fiber optic)
• Experience in data center infrastructure (rack setup, patching, containment, etc.)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

Position Overview

Seeking a skilled Kafka Developer (& support specialist)to join for a client engagement. This role combines development and support responsibilities, focusing on maintaining existing Kafka clusters and enhancing applications as business needs evolve.

Kafka Cluster Management & Support

• Monitor, maintain, and optimise existing Kafka clusters to ensure high availability and performance
• Troubleshoot and resolve Kafka-related issues in production and non-production environments
• Perform regular health checks, capacity planning, and performance tuning of Kafka infrastructure
• Implement and maintain Kafka security configurations and access controls
• Support incident management and provide timely resolution for Kafka-related incidents

Development & Enhancement

• Develop and enhance Kafka-based applications using Java
• Design and implement Kafka producers, consumers, and stream processing applications
• Write clean, maintainable, and well-documented code following best practices
• Collaborate with development teams to integrate Kafka solutions into existing applications
• Conduct code reviews and ensure adherence to coding standards
• Implement monitoring and alerting solutions for Kafka applications

Continuous Improvement

• Identify opportunities for automation and process improvements
• Stay updated with the latest Kafka features and industry best practices
• Contribute to technical documentation and knowledge sharing
• Participate in capacity planning and infrastructure scaling activities

Technical Skills

Kafka Expertise: Strong hands-on experience with Apache/ Confluent Kafka, including:

• Kafka cluster setup, configuration, and administration
• Kafka topics, partitions, replication, and consumer groups
• Kafka Connect and Kafka Streams
• Performance tuning and troubleshooting
• Java Development: Proficient in Java programming with:
• Strong understanding of Java fundamentals and object-oriented programming
• Experience with Kafka Java client libraries
• Knowledge of multithreading and concurrent programming
• Familiarity with build tools (Maven/Gradle)
• Additional Technical Knowledge:
• Experience with message serialisation formats (like JSON)
• Understanding of distributed systems and microservices architecture
• Knowledge of monitoring tools (Prometheus, Grafana, or similar)
• Familiarity with version control systems (Git)
• Experience with CI/CD pipelines is a plus

Professional Experience

• Minimum 3-5 years of hands-on experience with Apache Kafka
• Proven track record in both development and support roles
• Experience in production support and incident management
• Background in maintaining mission-critical systems

QUESSCORP SINGAPORE PTE. LTD

Registration No. 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

About the Role

We are seeking System Engineers to support the design, implementation, administration, and maintenance of enterprise infrastructure environments supporting mission-critical operations.

This role offers the opportunity to work on large-scale infrastructure platforms, virtualization technologies, automation initiatives, and high-availability systems within a structured enterprise environment.

Both Junior and Senior System Engineers are welcome to apply.

Key Responsibilities

• Design, deploy, administer, and maintain enterprise infrastructure environments
• Manage Windows Server 2016/2019/2022 environments, Active Directory, Group Policy, DNS, DHCP, IIS, and related services
• Support and optimize VMware vSphere and/or Hyper-V virtualization platforms
• Monitor system health, performance, and availability to ensure operational stability
• Implement and maintain backup, recovery, and disaster recovery solutions
• Perform patch management, system hardening, vulnerability remediation, and security compliance activities
• Develop PowerShell scripts and automation solutions to improve operational efficiency
• Troubleshoot and resolve infrastructure-related incidents and technical issues
• Collaborate with cross-functional teams to support infrastructure projects and operational requirements
• Participate in system upgrades, capacity planning, and technology refresh initiatives
• Maintain technical documentation, operational procedures, and system configurations
• Provide technical guidance and knowledge sharing within the team
• Work with vendors and stakeholders to support infrastructure operations and enhancements

Requirements

• Minimum 8 years of hands-on experience in system administration and infrastructure management
• Strong expertise in Windows Server and Active Directory administration
• Hands-on experience with VMware vSphere or Hyper-V
• Experience in backup and disaster recovery solutions
• Strong PowerShell scripting and automation skills
• Experience managing high-availability enterprise environments
• Strong troubleshooting and problem-solving skills

Preferred Skills

• Microsoft Azure, AWS, or Google Cloud Platform
• Infrastructure as Code (IaC) tools and practices
• SCCM, WSUS, or equivalent patch management platforms
• Monitoring solutions such as Splunk, ELK, or Prometheus
• Linux/Unix administration experience
• ITIL service management knowledge
• Network and cybersecurity knowledge
• Relevant Microsoft, VMware, or infrastructure-related certifications

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Jagdev Singh Sidhu (EA Personnel Reg. No. R1108594, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.